Projects: pypi: scikit-learn

https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn

A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month

Enhanced Analysis
Educational Contributors: a.joly@ulg.ac.be vanderplas@astro.washington.edu bh00038@cvplws63.eps.surrey.ac.uk ha258@cornell.edu satra@mit.edu zl2480@columbia.edu pinto@alum.mit.edu jz4721@nyu.edu matteo.visconti.gr@dartmouth.edu vighneshbirodkar@nyu.edu robert.l.marchman@dartmouth.edu rs2715@stern.nyu.edu claire.savard@colorado.edu aaaagrawal@iitb.ac.in ihaque@cs.stanford.edu rspeer@mit.edu mluessi@nmr.mgh.harvard.edu amitibo@tx.technion.ac.il ericchang2017@u.northwestern.edu jkarno@seas.upenn.edu minghui.liu@trincoll.edu m.lyra@sussex.ac.uk andrew.knyazev@ucdenver.edu lamb@cs.stanford.edu camilo@neurostat.mit.edu martino.sorbaro@ed.ac.uk t.sheerman-chase@surrey.ac.uk cgohlke@uci.edu batulaa@drexel.edu kcarnold@alum.mit.edu apw@seas.harvard.edu abie@alum.mit.edu rossbar@berkeley.edu alceballosa@unal.edu.co fhoang7@berkeley.edu hechen@seas.upenn.edu stefan@sun.ac.za deepyaman.datta@utexas.edu rebekah.kim@columbia.edu shubham.bhardwaj2015@vit.ac.in slama@berkeley.edu nisingh@wharton.upenn.edu kanikas3@vt.edu jdlabal@stanford.edu kjells@uw.edu markus.loning.17@ucl.ac.uk k_nzw@klis.tsukuba.ac.jp dkirkby@uci.edu balawson@bu.edu c.brummitt@columbia.edu choo8@illinois.edu giorgio.patrini@anu.edu.au shangwuy@andrew.cmu.edu rafael.possas@sydney.edu.au olsonran@msu.edu brian.mcfee@nyu.edu naj273@nyu.edu dgrusak@trinity.edu emd222@cornell.edu voth0@sewanee.edu trishnendu.dd2014@cs.iiests.ac.in apeng@berkeley.edu boucher@cs.umass.edu lunt@ctbp.ucsd.edu bakhbari@mgh.harvard.edu piraka@brandeis.edu neal.lathia@cl.cam.ac.uk razhoshia@post.bgu.ac.il michal.romaniuk06@ic.ac.uk m.batchkarov@sussex.ac.uk lemin@cs.colostate.edu rudvlf0413@korea.ac.kr vredev16@msu.edu raschkas@msu.edu ali.baharev@univie.ac.at a.krasoulis@sms.ed.ac.uk arokem@berkeley.edu gabrielvr@al.insper.edu.br eric.sanchez1234@email.bakersfieldcollege.edu fcchou@stanford.edu rofuyu@cs.utexas.edu glemaitre@visor.udg.edu naoyaiijima@hiroshima-u.ac.jp ayushgup@iitk.ac.in joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au jam7w2@mail.missouri.edu j.hale09@imperial.ac.uk tw991@nyu.edu patel_zeel@iitgn.ac.in vincent.lostanlen@nyu.edu stvjc@channing.harvard.edu ritchieng@u.nus.edu bansalsi@usc.edu rbarnes@umn.edu rrohan@cs.cmu.edu liutong.zhou@columbia.edu mdh386@nyu.edu mlf419@nyu.edu shreyave@usc.edu jin.siy@northeastern.edu samuel_ainsworth@brown.edu cwijes1@lsu.edu wadawson@ucdavis.edu xinyuliu@umich.edu rz258@cornell.edu daniel.mallia21@myhunter.cuny.edu argriffi@ncsu.edu filipj@umich.edu kms15@case.edu sam.dixon@berkeley.edu khong008@e.ntu.edu.sg jnelso11@gmu.edu jclawton@umich.edu jaehyunahn@sogang.ac.kr ijpulidos@unal.edu.co gstupp@scripps.edu justhube@umich.edu noamkeidar@campus.technion.ac.il nityamd@nyu.edu css459@nyu.edu alyee@ucsd.edu andersk@mit.edu dhanus@mit.edu coreylevinson@uchicago.edu cailean.carter@quadram.ac.uk bral4884@colorado.edu dschult@colgate.edu dpwe@ee.columbia.edu dylan.cashman@tufts.edu pawelsendyk@berkeley.edu qzhang90@gatech.edu mhaberla@calpoly.edu saketk@student.unimelb.edu.au eunjikim@dm.snu.ac.kr erinrhof@uw.edu ksivaman@purdue.edu garmstrong@ucsd.edu konstantin.shmelkov@polytechnique.edu e175774@ie.u-ryukyu.ac.jp hermidal@cs.umd.edu jbearer@hmc.edu jmarin@csail.mit.edu
Repository Activity:
Repository Owner: scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +2840 Educational commit emails
    142 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +6 Science terms in README
    3 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning scikit-learn 2,431

10.1038/s41598-020-64243-6
Identifying task-relevant spectral signatures of perceptual categorization in the human cortex
Cited by: 2
Author(s): Ilya Kuzovkin, Juan R. Vidal, Marcela Perrone‐Bertolotti, Philippe Kahane, Sylvain Rheims, Jaan Aru, Jean-Philippe Lachaux, Raúl Vicente
Software Mentions: 1
Published: over 6 years ago
10.3390/cancers12123858
A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors
Cited by: 4
Author(s): L. Cerdá Alberich, C. Sangüesa Nebot, Ángel Alberich-Bayarri, José Miguel Carot Sierra, Blanca Martínez de las Heras, Diana Veiga‐Canuto, Adela Cañete, Luis Martí‐Bonmatí
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-64912-6
An Automated Segmentation Pipeline for Intratumoural Regions in Animal Xenografts Using Machine Learning and Saturation Transfer MRI
Cited by: 5
Author(s): Wilfred Lam, Wendy Oakden, Ezatollah Karami, Margaret M. Koletar, Leedan Murray, Stanley K. Liu, Ali Sadeghi‐Naini, Greg J. Stanisz
Software Mentions: 1
Published: over 6 years ago
10.1038/s41398-020-01045-4
Defining data-driven subgroups of obsessive–compulsive disorder with different treatment responses based on resting-state functional connectivity
Cited by: 14
Author(s): Seo‐Young Kwak, Minah Kim, Taekwan Kim, Yoobin Kwak, Sae-Sook Oh, Silvia Kyungjin Lho, Sun Young Moon, Tae Young Lee, Jun Soo Kwon
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-66333-x
Weakly-supervised learning for lung carcinoma classification using deep learning
Cited by: 111
Author(s): Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Michael Rambeau, Yuka Kozuma, Shoji Fukushima, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-66255-8
Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI
Cited by: 3
Author(s): Parisa Movahedi, Harri Merisaari, Ileana Montoya Perez, Pekka Taimen, Jukka Kemppainen, Anna Kuisma, Olli Eskola, Jarmo Teuho, Jani Saunavaara, M. Pesola, Esa Kähkönen, Otto Ettala, Timo Liimatainen, Tapio Pahikkala, Peter J. Boström, Hannu J. Aronen, Heikki Minn, Ivan Jambor
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-66424-9
An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries
Cited by: 37
Author(s): Arunava Naha, Sangmin Han, Samarth Agarwal, Arun K. Guha, Ashish Khandelwal, Piyush Tagade, Krishnan S. Hariharan, Subramanya Mayya Kolake, Jongmoon Yoon, Bookeun Oh
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-67178-0
A machine learning-based prognostic predictor for stage III colon cancer
Cited by: 31
Author(s): Dan Jiang, Junhua Liao, Haihan Duan, Qingbin Wu, Gemma Owen, Chang Shu, Liangyin Chen, Yanjun He, Ziqian Wu, Du He, Wenyan Zhang, Ziqiang Wang
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67878-7
Integrated network modeling approach defines key metabolic responses of soil microbiomes to perturbations
Cited by: 9
Author(s): Ryan McClure, Joon‐Yong Lee, Taniya Roy Chowdhury, Eric Bottos, Richard Allen White, Young-Mo Kim, Carrie Nicora, Thomas O. Metz, Kirsten Hofmockel, Janet K. Jansson, Hyun‐Seob Song
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67769-x
A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer
Cited by: 8
Author(s): Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-68156-2
A machine learning workflow for raw food spectroscopic classification in a future industry
Cited by: 40
Author(s): Panagiοtis Tsakanikas, Apostolos Karnavas, Efstathios Ζ. Panagou
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-67546-w
A machine learning framework for computationally expensive transient models
Cited by: 13
Author(s): Prashant Kumar, Kushal Sinha, Nandkishor K. Nere, Yujin Shin, Raimundo Ho, Laurie Mlinar, Ahmad Y. Sheikh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-68611-0
Deep learning-based classification of the mouse estrous cycle stages
Cited by: 8
Author(s): Kentaro Sano, Shingo Matsuda, Suguru Tohyama, Daisuke Komura, Eiji Shimizu, Chihiro Sutoh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-69056-1
Label-free detection of rare circulating tumor cells by image analysis and machine learning
Cited by: 29
Author(s): Wang Shen, Yuyuan Zhou, Xiaochen Qin, Suresh Nair, Xiaolei Huang, Yaling Liu
Software Mentions: 1
Published: about 6 years ago
10.1371/journal.pone.0233079
Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model
Cited by: 19
Author(s): Yu Chieh Ko, Shih Yu Wey, Wei Ta Chen, Yu Fan Chang, Mei Ju Chen, Shih Hwa Chiou, Catherine Jui Ling Liu, Chen‐Yi Lee
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-020-71613-7
A deep learning approach for facility patient attendance prediction based on medical booking data
Cited by: 9
Author(s): Francesco Piccialli, Salvatore Cuomo, Danilo Crisci, Edoardo Prezioso, Gang Mei
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71412-0
Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryos
Cited by: 26
Author(s): Thomas Naert, Dieter Tulkens, Nicole Edwards, Marjolein Carron, Nikko-Ideen Shaidani, Marcin Wlizla, Annekatrien Boel, Suzan Demuynck, Marko E. Horb, Paul Coucke, Andy Willaert, Aaron M. Zorn, Kris Vleminckx
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71927-6
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer
Cited by: 11
Author(s): Bum-Joo Cho, Kyoung Min Kim, Sanchir-Erdene Bilegsaikhan, Yong Joon Suh
Software Mentions: 1
Published: about 6 years ago
10.1038/s41598-020-71693-5
Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning
Cited by: 20
Author(s): Bálint Ármin Pataki, Sébastien Matamoros, Boas C L van der Putten, Daniel Remondini, Enrico Giampieri, Derya Aytan-Aktug, René S. Hendriksen, Ole Lund, István Csabai, Constance Schultsz
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-72455-z
Melt crystallization mechanism analyzed with dimensional reduction of high-dimensional data representing distribution function geometries
Cited by: 2
Author(s): Hiroki Nada
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-72317-8
Functional parcellation of the default mode network: a large-scale meta-analysis
Cited by: 27
Author(s): Shaoming Wang, Lindsey Tepfer, Adrienne A. Taren, David V. Smith
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0252068
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation
Cited by: 14
Author(s): David Guijo-Rubio, Javier Briceño, Pedro Antonio Gutiérrez, María Dolores Ayllón, Rubén Ciria, César Hervás-Martı́nez
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-73611-1
Exploration into biomarker potential of region-specific brain gene co-expression networks
Cited by: 3
Author(s): Yuqing Hang, Mohammed Aburidi, Benafsh Husain, Allison R Hickman, William L. Poehlman, F. Alex Feltus
Software Mentions: 1
Published: almost 6 years ago
10.1371/journal.pone.0218642
A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy
Cited by: 48
Author(s): Georgios Kaissis, Sebastian Ziegelmayer, Fabian Lohöfer, Katja Steiger, Hana Algül, Alexander Muckenhuber, Hsi-Yu Yen, Ernst J. Rummeny, Helmut Frieß, Roland M. Schmid, Wilko Weichert, Jens T. Siveke, Rickmer Braren
Software Mentions: 1
Published: almost 7 years ago
10.1128/mBio.00915-18
Candida albicans-Induced Epithelial Damage Mediates Translocation through Intestinal Barriers
Cited by: 118
Author(s): Stefanie Allert, Toni M. Förster, Carl-Magnus Svensson, Jonathan P. Richardson, Tony Pawlik, Betty Hebecker, Sven Rudolphi, Marc Juraschitz, Martin Schaller, Mariana Blagojevic, Joachim Morschhäuser, Marc Thilo Figge, Ilse D. Jacobsen, Julian R. Naglik, Lydia Kasper, Selene Mogavero, Bernhard Hube
Software Mentions: 1
Published: about 8 years ago
10.1038/s41598-020-75715-0
Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis
Cited by: 16
Author(s): Bo Yuan, Dong Yang, Barry Rothberg, Hao Chang, Tian Xu
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-75446-2
Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition
Cited by: 11
Author(s): Bin Han, Huashuai Chen, Yao Yao, Xiaomin Liu, Chao Nie, Junxia Min, Yi Zeng, Michael W. Lutz
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-76369-8
Predicting antibody affinity changes upon mutations by combining multiple predictors
Cited by: 9
Author(s): Yoichi Kurumida, Yutaka Saitô, Tomoshi Kameda
Software Mentions: 1
Published: almost 6 years ago
10.1128/mBio.02785-20
Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa
Cited by: 25
Author(s): Jitender Mehla, Giuliano Malloci, Rachael A. Mansbach, César A. López, Ruslan Tsivkovski, Keith M. Haynes, Inga V. Leus, Sally B. Grindstaff, Robert H. Cascella, Napoleon D’Cunha, Liam Herndon, Nicolas W. Hengartner, Enrico Margiotta, Alessio Atzori, Attilio Vittorio Vargiu, Pedro D. Manrique, John K. Walker, Olga Lomovskaya, Paolo Ruggerone, S. Gnanakaran, Valentin V. Rybenkov, Helen I. Zgurskaya
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-77648-0
TERT promoter alterations could provide a solution for Peto’s paradox in rodents
Cited by: 5
Author(s): Balázs Vedelek, Asha Kiran Maddali, Nurgul Davenova, Viktor Vedelek, Imre Boros
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-77548-3
Using machine learning tools to predict outcomes for emergency department intensive care unit patients
Cited by: 20
Author(s): Qiangrong Zhai, Zi Lin, Hua Ge, Yang Liang, Nan Li, Qingbian Ma, Chuyang Ye
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-78353-8
Saturation transfer properties of tumour xenografts derived from prostate cancer cell lines 22Rv1 and DU145
Cited by: 1
Author(s): Ziyu Tan, Wilfred Lam, Wendy Oakden, Leedan Murray, Margaret M. Koletar, Stanley K. Liu, Greg J. Stanisz
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-76874-w
Feature replacement methods enable reliable home video analysis for machine learning detection of autism
Cited by: 28
Author(s): Émilie Leblanc, Peter Washington, Maya Varma, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Dennis P. Wall
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-77474-4
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach
Cited by: 51
Author(s): Y. Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi, Kanta Ono
Software Mentions: 1
Published: almost 6 years ago
10.1038/s41598-020-78707-2
Collective dynamics of stock market efficiency
Cited by: 20
Author(s): Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-79906-7
Enhancer-derived long non-coding RNAs CCAT1 and CCAT2 at rs6983267 has limited predictability for early stage colorectal carcinoma metastasis
Cited by: 11
Author(s): Lai Fun Thean, Christopher Blöcker, Hui Hua Li, Michelle Lo, Marcus Wong, Choong Leong Tang, Emile Tan, Steven G. Rozen, Peh Yean Cheah
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80758-4
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets
Cited by: 11
Author(s): Ibrahim Abdelbaky, Hilal Tayara, Kil To Chong
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0252447
Thermographic imaging of mouse across circadian time reveals body surface temperature elevation associated with non-locomotor body movements
Cited by: 2
Author(s): Hiroyuki Shimatani, Yuichi Inoue, Yota Maekawa, Takahito Miyake, Yoshiaki Yamaguchi, Masao Doi
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80487-8
Dynamic blood flow phantom for in vivo liquid biopsy standardization
Cited by: 3
Author(s): Anastasiia Kozlova, Daniil N. Bratashov, О. В. Гришин, Arkadii Abdurashitov, Ekaterina S. Prikhozhdenko, Roman A. Verkhovskii, Natalia A. Shushunova, E. V. Shashkov, Vladimir P. Zharov, Olga A. Inozemtseva
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80474-z
Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission
Cited by: 6
Author(s): Bong Jin Lee, Kyunghoon Kim, Hye‐Jin Hwang, You Sun Kim, Eun Hee Chung, Jong Seo Yoon, Hwa Jin Cho, June Dong Park
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-020-80751-x
Multi-scale image analysis and prediction of visual field defects after selective amygdalohippocampectomy
Cited by: 2
Author(s): Bastian David, Jasmine Eberle, Daniel Delev, Jennifer Gaubatz, Conrad C. Prillwitz, Jan Wagner, Jan-Christoph Schoene-Bake, Guido Luechters, Alexander Radbruch, Bettina Wabbels, Johannes Schramm, Bernd Weber, Rainer Surges, Christian E. Elger, Theodor Rüber
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-81525-9
Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classification
Cited by: 23
Author(s): Namgyu Ho, Yoon‐Chul Kim
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-81272-x
Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study
Cited by: 11
Author(s): Gabriel Addio Nketiah, Mattijs Elschot, Tom W. J. Scheenen, Marnix C. Maas, Tone Frost Bathen, Kirsten Margrete Selnæs
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-81958-2
Predicting individual emotion from perception-based non-contact sensor big data
Cited by: 11
Author(s): Nobuyoshi Komuro, Tomoki Hashiguchi, Keita Hirai, Makoto Ichikawa
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0228642
Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering
Cited by: 18
Author(s): Samuel G. Thorpe, Corey M. Thibeault, Nicolas Canac, Kian Jalaleddini, Amber Y. Dorn, Seth J. Wilk, Thomas Devlin, Fabien Scalzo, Robert Hamilton
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-021-82649-8
Targeting barrel field spiny stellate cells using a vesicular monoaminergic transporter 2-Cre mouse line
Cited by: 1
Author(s): Fábio Batista Freitag, Aikeremu Ahemaiti, Hannah M. Weman, Katharina Ambroz, Malin C. Lagerström
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-81844-x
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Cited by: 53
Author(s): Espen Jimenez-Solem, Tonny Studsgaard Petersen, Casper Worm Hansen, Christian Hansen, Christina Lioma, Christian Igel, Wouter Boomsma, Oswin Krause, Stephan Lorenzen, Raghavendra Selvan, Janne Petersen, Martin Erik Nyeland, Mikkel Zöllner Ankarfeldt, Gert Mehl Virenfeldt, Matilde Winther‐Jensen, Allan Linneberg, Mostafa Mehdipour Ghazi, Nicki Skafte Detlefsen, Andreas David Lauritzen, Abraham George Smith, Marleen de Bruijne, Bulat Ibragimov, Jens Petersen, Martin Lillholm, Jon Middleton, Signe Sloth Mogensen, Hans-Christian Thorsen-Meyer, Anders Perner, Marie Helleberg, Benjamin Skov Kaas‐Hansen, Mikkel Bonde, Alexander Bonde, Akshay Pai, Mads Nielsen, Martin Sillesen
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-82885-y
A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
Cited by: 55
Author(s): Fernando Fernandes, Tiago Almeida de Oliveira, Cristiane Esteves Teixeira, André Filipe de Moraes Batista, Gabriel Dalla Costa, Alexandre Dias Porto Chiavegatto Filho
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-83315-9
Optimizing machine learning models for granular NdFeB magnets by very fast simulated annealing
Cited by: 10
Author(s): Hyeon-Kyu Park, Jae‐Hyeok Lee, Je-Hyun Lee, Sang‐Koog Kim
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-83237-6
A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography
Cited by: 23
Author(s): Xiaoguo Zhang, Dawei Wang, Jiang Shao, Tian Song, Wenming Tan, Yan Ma, Qing-nan Xu, Xiaoman Ma, Dasheng Li, Jun Chai, Dingjun Wang, Wenwen Liu, Lingbo Lin, Jiangfen Wu, Xia Chen, Zhongfa Zhang
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0193689
A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products
Cited by: 20
Author(s): Alberto Ferrarini, Claudio Forcato, Genny Buson, Paola Tononi, Valentina Del Monaco, Mario Terracciano, Chiara Bolognesi, Francesca Fontana, Gianni Medoro, Rui P. Neves, Birte Möhlendick, Karim Rihawi, Andrea Ardizzoni, Semini Sumanasuriya, Penny Flohr, Maryou B. Lambros, Johann S. de Bono, Nikolas H. Stoecklein, Nicolò Manaresi
Software Mentions: 1
Published: over 8 years ago
10.1371/journal.pone.0212898
Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain Atlas
Cited by: 10
Author(s): Natalie Weed, Trygve E. Bakken, Nile Graddis, Nathan W. Gouwens, Daniel Millman, Michael Hawrylycz, Jack Waters
Software Mentions: 1
Published: about 7 years ago
10.1371/journal.pone.0179314
Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties
Cited by: 44
Author(s): Yuliang Pan, Diwei Liu, Lei Deng
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-021-82850-9
Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19
Cited by: 49
Author(s): Kenji Nakamichi, Jolie Shen, Cecilia S. Lee, Aaron Lee, Emma A. Roberts, Paul D. Simonson, Pavitra Roychoudhury, Jessica Andriesen, April Randhawa, Patrick C. Mathias, Alexander L. Greninger, Keith R. Jerome, Russell N. Van Gelder
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-83641-y
Exploratory analysis of immunization records highlights decreased SARS-CoV-2 rates in individuals with recent non-COVID-19 vaccinations
Cited by: 78
Author(s): Colin Pawlowski, Arjun Puranik, Hari Bandi, AJ Venkatakrishnan, Vineet Agarwal, Richard B. Kennedy, John C. O’Horo, Gregory J. Gores, Amy W. Williams, John Halamka, Andrew D. Badley, Venky Soundararajan
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-85514-w
A national survey assessing public readiness for digital health strategies against COVID-19 within the United Kingdom
Cited by: 15
Author(s): Viknesh Sounderajah, Jonathan Clarke, Seema Yalamanchili, Amish Acharya, Sheraz R. Markar, Hutan Ashrafian, Ara Darzi
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-86320-0
Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD
Cited by: 23
Author(s): H. Caly, Hamed Rabiei, Perrine Coste-Mazeau, Sebastien Hantz, Sophie Alain, J.-P. Eyraud, Thierry Chianéa, Catherine Caly, David Makowski, Nouchine Hadjikhani, Éric Lemonnier, Yehezkel Ben‐Ari
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-87171-5
Development of machine learning model for diagnostic disease prediction based on laboratory tests
Cited by: 35
Author(s): Dong Jin Park, Min Woo Park, Homin Lee, Young‐Jin Kim, Yeongsic Kim, Young Hoon Park
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-87226-7
Efficient collection of a large number of mutations by mutagenesis of DNA damage response defective animals
Cited by: 3
Author(s): Yutaka Suehiro, Sawako Yoshina, Tomoko Motohashi, Satoru Iwata, Katsufumi Dejima, Shohei Mitani
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-87300-0
Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning
Cited by: 3
Author(s): Alexandre Maciel-Guerra, Necati Esener, Katharina Giebel, Daniel Lea, Martin J. Green, Andrew J. Bradley, Tania Dottorini
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0256834
Machine Learning augmented docking studies of aminothioureas at the SARS-CoV-2—ACE2 interface
Cited by: 1
Author(s): Monika Rola, Jakub Krassowski, Julita Górska, Anna Grobelna, W Płonka, Agata Paneth, Piotr Paneth
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-021-87176-0
Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning
Cited by: 11
Author(s): Jeoung Kun Kim, Yoo Jin Choo, Hyunkwang Shin, Gyu Sang Choi, Hee Jin Lee
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-87035-y
Quantitative structure–activity relationship models for genotoxicity prediction based on combination evaluation strategies for toxicological alternative experiments
Cited by: 2
Author(s): Xiaotong Yang, Zhengbao Zhang, Qing Li, Yongming Cai
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-87598-w
Robustness of radiomic features in CT images with different slice thickness, comparing liver tumour and muscle
Cited by: 27
Author(s): L. Escudero Sanchez, Leonardo Rundo, Andrew B. Gill, Matthew Hoare, Eva M. Serrao, Evis Sala
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2021.664490
Imaging Time Series of Eye Tracking Data to Classify Attentional States
Cited by: 7
Author(s): Lisa-Marie Vortmann, Jannes Knychalla, Sonja Annerer‐Walcher, Mathias Benedek, Felix Putze
Software Mentions: 1
Published: over 5 years ago
10.1186/s12859-018-2267-2
DeepSort: deep convolutional networks for sorting haploid maize seeds
Cited by: 54
Author(s): Balaji Veeramani, John W. Raymond, Pritam Chanda
Software Mentions: 1
Published: about 8 years ago
10.3389/fnins.2018.00038
Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity
Cited by: 45
Author(s): Xiang-Fei Geng, Junhai Xu, Baolin Liu, Yonggang Shi
Software Mentions: 1
Published: over 8 years ago
10.1080/20013078.2020.1792683
<i>In vivo</i> identification of apoptotic and extracellular vesicle‐bound live cells using image‐based deep learning
Cited by: 14
Author(s): Jan Kranich, Nikolaos-Kosmas Chlis, Lisa Rausch, Ashretha Latha, Martina Schifferer, Tilman Kurz, Agnieszka Foltyn-Arfa Kia, Mikael Simons, Fabian J. Theis, Thomas Brocker
Software Mentions: 1
Published: about 6 years ago
10.3390/molecules26061617
Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem
Cited by: 6
Author(s): Mario Lovrić, Olga Malev, Göran Klobučar, Roman Kern, Jay Liu, Bono Lučić
Software Mentions: 1
Published: over 5 years ago
10.1186/s13062-020-00278-z
A machine learning framework to determine geolocations from metagenomic profiling
Cited by: 11
Author(s): Lihong Huang, Canqiang Xu, Wenxian Yang, Rongshan Yu
Software Mentions: 1
Published: almost 6 years ago
10.3389/fnins.2020.588357
Hyperscanning EEG and Classification Based on Riemannian Geometry for Festive and Violent Mental State Discrimination
Cited by: 5
Author(s): Cédric Simar, Ana Maria Cebolla, Gaëlle Chartier, Mathieu Petieau, Gianluca Bontempi, Alain Berthoz, Guy Chéron
Software Mentions: 1
Published: over 5 years ago
10.3389/fnins.2020.605697
Machine Learning-Based Identification of Suicidal Risk in Patients With Schizophrenia Using Multi-Level Resting-State fMRI Features
Cited by: 8
Author(s): Bartosz Bohaterewicz, Anna Maria Sobczak, Igor T. Podolak, Bartosz Wójcik, Dagmara Mętel, Adrian Andrzej Chrobak, Magdalena Fa Frowicz, Marcin Siwek, Dominika Dudek, Tadeusz Marek
Software Mentions: 1
Published: over 5 years ago
10.1007/s11548-016-1376-5
Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression
Cited by: 36
Author(s): Sebastian J. Wirkert, Hannes Kenngott, Benjamin F. B. Mayer, Patrick Mietkowski, Martin Wagner, Peter Sauer, Neil T. Clancy, Daniel S. Elson, Lena Maier-Hein
Software Mentions: 1
Published: over 10 years ago
10.3389/fnins.2019.00891
Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder
Cited by: 32
Author(s): Agamemnon Krasoulis, Sethu Vijayakumar, Kianoush Nazarpour
Software Mentions: 1
Published: about 7 years ago
10.18632/oncotarget.20365
MLACP: machine-learning-based prediction of anticancer peptides
Cited by: 185
Author(s): Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Sun Choi, Myeong Ok Kim, Gwang Lee
Software Mentions: 1
Published: about 9 years ago
10.3389/fnins.2018.00967
Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson’s Disease
Cited by: 13
Author(s): Óscar Peña‐Nogales, Timothy M. Ellmore, Rodrigo de Luis‐García, Jessika Suescun, Mya C. Schiess, Luca Giancardo
Software Mentions: 1
Published: over 7 years ago
10.3389/fnins.2020.558434
Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment
Cited by: 10
Author(s): Lulu Zhang, Huangjing Ni, Yu Zhang, Jun Wang, Qin Jiang, Fengzhen Hou, Albert C. Yang, Alzheimer’s Disease Neuroimaging Initiative
Software Mentions: 1
Published: almost 6 years ago
10.1093/gerona/glaa090
Probiotic Supplementation Improves Cognitive Function and Mood with Changes in Gut Microbiota in Community-Dwelling Older Adults: A Randomized, Double-Blind, Placebo-Controlled, Multicenter Trial
Cited by: 172
Author(s): Chong-Su Kim, Lina Cha, Min Sub Sim, Sungwoong Jung, Woo Young Chun, Hyun Wook Baik, Dong Mi Shin
Software Mentions: 1
Published: over 6 years ago
10.1186/s12942-018-0132-1
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery
Cited by: 21
Author(s): Robert Chew, Safaa Amer, Kasey Jones, Jennifer Unangst, James Cajka, Justine Allpress, Mark Bruhn
Software Mentions: 1
Published: over 8 years ago
10.3389/fonc.2020.585767
Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer
Cited by: 23
Author(s): Xiangchun Liu, Qi Yang, Chunyu Zhang, Jianqing Sun, Kan He, Yunming Xie, Yiying Zhang, Yu Fu, Huimao Zhang
Software Mentions: 1
Published: over 5 years ago
10.7150/ijms.47193
Risk factors related to the severity of COVID-19 in Wuhan
Cited by: 25
Author(s): Zhao Chen, Yan Bai, Cencen Wang, Yanyan Zhong, Na Lü, Li Tian, Fucheng Cai, Runming Jin
Software Mentions: 1
Published: over 5 years ago
10.1128/AEM.00608-19
Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell
Cited by: 3
Author(s): Yutaka Yawata, Tatsunori Kiyokawa, Yasuhiko Kawamura, Tomohiro Hirayama, Kyosuke Takabe, Nobuhiko Nomura
Software Mentions: 1
Published: almost 7 years ago
10.3389/fonc.2020.607923
Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After Prostatectomy
Cited by: 6
Author(s): P. Sargos, Nicolas Leduc, Nicolas Giraud, Giorgio Gandaglia, M. Roumiguié, Guillaume Ploussard, François Rozet, M. Soulié, Romain Mathiéu, P. Mongiat Artus, Tamim Niazi, Vincent Vinh-Hung, Jean-Baptiste Beauval
Software Mentions: 1
Published: over 5 years ago
10.7717/peerj.11382
Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forum
Cited by: 15
Author(s): En Jun Choong, Kasturi Dewi Varathan
Software Mentions: 1
Published: about 5 years ago
10.1155/2020/3743171
Classification of Alzheimer’s Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets
Cited by: 20
Author(s): Saidjalol Toshkhujaev, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Goo‐Rak Kwon, Yubraj Gupta, Ramesh Kumar Lama
Software Mentions: 1
Published: about 6 years ago
10.1155/2020/8829451
Toward Measuring Target Perception: First-Order and Second-Order Deep Network Pipeline for Classification of Fixation-Related Potentials
Cited by: 0
Author(s): Hong Zeng, Junjie Shen, Wenming Zheng, Aiguo Song, Jia Liu
Software Mentions: 1
Published: almost 6 years ago
10.1155/2021/6695108
A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring
Cited by: 36
Author(s): Shanaka Ramesh Gunasekara, H. N. T. K. Kaldera, Maheshi B. Dissanayake
Software Mentions: 1
Published: over 5 years ago
10.3390/ijms21207501
How Machine Learning Methods Helped Find Putative Rye Wax Genes Among GBS Data
Cited by: 3
Author(s): Magdalena Góralska, Jan Bińkowski, Natalia Lenarczyk, Anna Bienias, Agnieszka Grądzielewska, Ilona Czyczyło-Mysza, Kamila Kapłoniak, Stefan Stojałowski, Beata Myśków
Software Mentions: 1
Published: almost 6 years ago
10.3389/fonc.2020.01676
Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas
Cited by: 18
Author(s): Min Gao, Siying Huang, Xuequn Pan, Xiangyun Liao, Ru Yang, Jun Liu
Software Mentions: 1
Published: about 6 years ago
10.1155/2021/9917919
A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease
Cited by: 33
Author(s): Morshedul Bari Antor, Ashfaq Jamil, Maliha Mamtaz, Mohammad Monirujjaman Khan, Sultan Aljahdali, Manjit Kaur, Parminder Singh, Mehedi Masud
Software Mentions: 1
Published: about 5 years ago
10.3389/fonc.2021.642945
Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning Techniques
Cited by: 6
Author(s): Kaimei Huang, Zhiyi Mo, Wen Zhu, Bo Liao, Yachao Yang, Fang‐Xiang Wu
Software Mentions: 1
Published: over 5 years ago
10.1371/journal.pone.0184216
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
Cited by: 34
Author(s): Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, Holger Schulz
Software Mentions: 1
Published: about 9 years ago
10.3389/fonc.2020.00937
Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma
Cited by: 15
Author(s): Luyuan Zhang, Felipe Giuste, Juan C. Vizcarra, Xuejun Li, David Gutman
Software Mentions: 1
Published: about 6 years ago
10.3390/jimaging5030036
Identification of the Interface in a Binary Complex Plasma Using Machine Learning
Cited by: 7
Author(s): Hung-Lung Huang, Mierk Schwabe, C.-R. Du
Software Mentions: 1
Published: over 7 years ago
10.3389/fonc.2020.01186
CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung Adenocarcinoma
Cited by: 15
Author(s): Huang Ding, Wenjie Xia, Lei Zhang, Qixing Mao, Bowen Cao, Yihang Zhao, Lin Xu, Feng Jiang, Gaochao Dong
Software Mentions: 1
Published: about 6 years ago
10.3389/fonc.2020.00752
Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base
Cited by: 22
Author(s): Yang Zhang, Lan Shang, Chaoyue Chen, Xuelei Ma, Xuejin Ou, Jian Wang, Fan Xia, Jianguo Xu
Software Mentions: 1
Published: over 6 years ago
10.3389/fonc.2021.709137
Prediction of EGFR Mutation Status Based on 18F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma
Cited by: 8
Author(s): Guang Yin, Ziyang Wang, Yan Song, Xiaofeng Li, Yiwen Chen, Lihong Zhu, Qian Su, Diansheng Dong, Wengui Xu
Software Mentions: 1
Published: about 5 years ago
10.3389/fonc.2020.608598
Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study
Cited by: 16
Author(s): Fang Yang, Wei Chen, Haifeng Wei, Xianru Zhang, Shuanghu Yuan, Qiao Xu, Yen‐Wei Chen
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2019.01338
The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study
Cited by: 47
Author(s): Chaoyue Chen, Xinyi Guo, Jian Wang, Wen Guo, Xuelei Ma, Jianguo Xu
Software Mentions: 1
Published: almost 7 years ago
10.18632/oncotarget.23099
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
Cited by: 81
Author(s): Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Software Mentions: 1
Published: almost 9 years ago