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

10.1186/s12967-020-02319-7
A LASSO-derived risk model for long-term mortality in Chinese patients with acute coronary syndrome
Cited by: 18
Author(s): Yiming Li, Zhuo-lun Li, Fei Chen, Qi Liu, Yong Peng, Mao Chen
Software Mentions: 4
Published: over 6 years ago
10.3390/s16060790
Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial
Cited by: 49
Author(s): Merima Kulin, Carolina Fortuna, Eli De Poorter, Dirk Deschrijver, Ingrid Moerman
Software Mentions: 4
Published: over 10 years ago
10.1038/s41598-021-98249-5
Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany
Cited by: 14
Author(s): Anastasia Kozyreva, Philipp Lorenz-Spreen, Stephan Lewandowsky, Paul Michael Garrett, Stefan M. Herzog, Thorsten Pachur, Ralph Hertwig
Software Mentions: 4
Published: about 5 years ago
10.1186/s40360-018-0282-6
eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates
Cited by: 77
Author(s): Limeng Pu, Misagh Naderi, Tairan Liu, Hsiao-Chun Wu, Supratik Mukhopadhyay, Michał Bryliński
Software Mentions: 4
Published: over 7 years ago
10.1186/s12866-018-1341-2
The murine vaginal microbiota and its perturbation by the human pathogen group B Streptococcus
Cited by: 46
Author(s): Alison Vrbanac, Angelica M. Riestra, Alison Coady, Rob Knight, Victor Nizet, Kathryn A. Patras
Software Mentions: 4
Published: almost 8 years ago
10.7717/peerj.8042
Chronic trace metals effects of mine tailings on estuarine assemblages revealed by environmental DNA
Cited by: 44
Author(s): Ângelo F. Bernardino, Fabiano Sviatopolk-Mirsky Pais, Louisi Souza de Oliveira, Fabrício Ângelo Gabriel, Tiago Osório Ferreira, Hermano Melo Queiroz, Ana Carolina de Azevedo Mazzuco
Software Mentions: 4
Published: almost 7 years ago
10.7717/peerj.11581
iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC
Cited by: 20
Author(s): Yaser Daanial Khan, Nabeel Sabir Khan, Sheraz Naseer, Ahmad Hassan Butt
Software Mentions: 4
Published: about 5 years ago
10.1186/s12874-020-01046-3
Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning
Cited by: 33
Author(s): Joshua Levy, A. James O’Malley
Software Mentions: 4
Published: about 6 years ago
10.1371/journal.pone.0246689
Can we detect conditioned variation in political speech? two kinds of discussion and types of conversation
Cited by: 2
Author(s): Sabina Sloman, Daniel M. Oppenheimer, Simon DeDeo
Software Mentions: 4
Published: over 5 years ago
10.1186/s12859-020-3427-8
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data
Cited by: 33
Author(s): Aaron Smith, Jonathan R. Walsh, John M. Long, Craig B. Davis, Peter V. Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
Software Mentions: 4
Published: over 6 years ago
10.3389/fpsyg.2021.572437
Measuring Cognitive Load Using In-Game Metrics of a Serious Simulation Game
Cited by: 9
Author(s): Natalia Sevcenko, Manuel Ninaus, Franz Wortha, Korbinian Moeller, Peter Gerjets
Software Mentions: 4
Published: over 5 years ago
10.7717/peerj.12087
SC-JNMF: single-cell clustering integrating multiple quantification methods based on joint non-negative matrix factorization
Cited by: 6
Author(s): Mikio Shiga, Shigeto Seno, Makoto Onizuka, Hideo Matsuda
Software Mentions: 4
Published: about 5 years ago
10.1186/s12911-020-01331-7
An interpretable risk prediction model for healthcare with pattern attention
Cited by: 6
Author(s): Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang
Software Mentions: 4
Published: almost 6 years ago
10.3389/fpubh.2020.00451
Bacterial Genome Wide Association Studies (bGWAS) and Transcriptomics Identifies Cryptic Antimicrobial Resistance Mechanisms in Acinetobacter baumannii
Cited by: 6
Author(s): Chandler C. Roe, Charles H. D. Williamson, Adam J. Vazquez, Kristen Kyger, Michael Valentine, Jolene R. Bowers, P.D. Phillips, Veronica Harrison, Elizabeth M. Driebe, David M. Engelthaler, Jason W. Sahl
Software Mentions: 4
Published: about 6 years ago
10.1186/s12859-019-3076-y
DeepEP: a deep learning framework for identifying essential proteins
Cited by: 36
Author(s): Min Zeng, Min Li, Fang‐Xiang Wu, Yaohang Li, Yi Pan
Software Mentions: 4
Published: almost 7 years ago
10.1186/s12859-021-04147-y
Systematic interrogation of mutation groupings reveals divergent downstream expression programs within key cancer genes
Cited by: 1
Author(s): Michal R. Grzadkowski, Hannah D. Holly, Julia Somers, Emek Demir
Software Mentions: 4
Published: over 5 years ago
10.3390/pathogens10050555
Microeukaryotic Communities on the Fruit of Gardenia thunbergia Thunb. with a Focus on Pathogenic Fungi
Cited by: 0
Author(s): Bastian Steudel, Himansu Baijnath, Thorben Schwedt, Armin O. Schmitt
Software Mentions: 4
Published: over 5 years ago
10.3389/fonc.2021.694102
CEUS-Based Radiomics Can Show Changes in Protein Levels in Liver Metastases After Incomplete Thermal Ablation
Cited by: 5
Author(s): Haiwei Bao, Ting Chen, Jianjun Zhu, Haiyang Xie, Fen Chen
Software Mentions: 4
Published: about 5 years ago
10.1186/s12911-018-0679-6
A decision support system to follow up and diagnose primary headache patients using semantically enriched data
Cited by: 20
Author(s): Gilles Vandewiele, Femke De Backere, Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens, Sofie Van Hoecke, Vincent Keereman, Koen Paemeleire, Femke Ongenae, Filip De Turck
Software Mentions: 4
Published: almost 8 years ago
10.3389/fphar.2021.708050
A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine Alkaloids
Cited by: 5
Author(s): Christoph Helma, Verena Schöning, Jürgen Drewe, Philipp Boss
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.54082
Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacity
Cited by: 10
Author(s): Tarun Kumar, Leo Blondel, Cassandra G. Extavour
Software Mentions: 4
Published: about 6 years ago
10.3390/nu13093195
An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods
Cited by: 14
Author(s): Tazman Davies, Jimmy Chun Yu Louie, Tailane Scapin, Simone Pettigrew, Jason Wu, Matti Marklund, Daisy H. Coyle
Software Mentions: 4
Published: about 5 years ago
10.3389/fonc.2020.01065
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling
Cited by: 28
Author(s): Marco Chierici, Nicole Bussola, Alessia Marcolini, Margherita Francescatto, Alessandro Zandonà, Lucia Trastulla, Claudio Agostinelli, Giuseppe Jurman, Cesare Furlanello
Software Mentions: 4
Published: about 6 years ago
10.1186/s12911-016-0306-3
Temporal bone radiology report classification using open source machine learning and natural langue processing libraries
Cited by: 15
Author(s): Aaron J. Masino, Robert W. Grundmeier, Jeffrey W. Pennington, John A. Germiller, E. Bryan Crenshaw
Software Mentions: 4
Published: over 10 years ago
10.7554/eLife.59780
On the objectivity, reliability, and validity of deep learning enabled bioimage analyses
Cited by: 25
Author(s): Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R. von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B. Comeras, Anupam Sah, Victoria Schoeffler, Teresa M. Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren D. Lange, Ramon Tasan, Nicolas Singewald, Hans‐Christian Pape, Christoph M. Flath, Robert Blum
Software Mentions: 4
Published: almost 6 years ago
10.1186/s12911-019-0805-0
Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records
Cited by: 54
Author(s): Maria Pikoula, Jennifer K Quint, Francis Nissen, Harry Hemingway, Liam Smeeth, Spiros Denaxas
Software Mentions: 4
Published: over 7 years ago
10.7554/eLife.19760
Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation
Cited by: 551
Author(s): Max A. Horlbeck, Luke A. Gilbert, Jacqueline E. Villalta, Brittany Susan Adamson, Ryan A. Pak, Yu‐Wen Chen, Alexander P. Fields, Chong Yon Park, Jacob E. Corn, Martin Kampmann, Jonathan S. Weissman
Software Mentions: 4
Published: about 10 years ago
10.3389/fonc.2020.610513
Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant Subclasses
Cited by: 15
Author(s): Xingxing Gao, Hechen Huang, Yübo Wang, Caixu Pan, Shengyong Yin, Lin Zhou, Shusen Zheng
Software Mentions: 4
Published: over 5 years ago
10.7554/eLife.38173
CaImAn an open source tool for scalable calcium imaging data analysis
Cited by: 495
Author(s): Andrea Giovannucci, Johannes Friedrich, Pat Gunn, Jérémie Kalfon, Brandon Brown, S. A. Koay, Jiannis Taxidis, Farzaneh Najafi, Jeffrey Gauthier, Pengcheng Zhou, Baljit S. Khakh, David W. Tank, Dmitri B. Chklovskii, Eftychios A. Pnevmatikakis
Software Mentions: 4
Published: over 7 years ago
10.3389/fonc.2021.699789
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
Cited by: 7
Author(s): Zenghui Qian, Lingling Zhang, Jie Hu, Shuguang Chen, Hongyan Chen, Huicong Shen, Fei Zheng, Yan-Nan Zang, Xuzhu Chen
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.63377
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
Cited by: 61
Author(s): James P Bohnslav, Nivanthika K Wimalasena, Kelsey J Clausing, Yu Dai, David A. Yarmolinsky, Tomás Cruz, Adam D Kashlan, M. Eugenia Chiappe, Lauren L. Orefice, Clifford J. Woolf, Christopher D. Harvey
Software Mentions: 4
Published: about 5 years ago
10.3389/fnins.2017.00398
Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features
Cited by: 45
Author(s): Adrian Ion-Mărgineanu, G. Kocevar, Claudio Stamile, Diana M. Sima, Françoise Durand‐Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Software Mentions: 4
Published: about 9 years ago
10.2196/mhealth.7820
Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study
Cited by: 38
Author(s): Orianna DeMasi, Sidney Feygin, Aluma Dembo, Adrián Aguilera, Benjamin Recht
Software Mentions: 4
Published: almost 9 years ago
10.1186/s12859-020-03682-4
NEDD: a network embedding based method for predicting drug-disease associations
Cited by: 22
Author(s): Renyi Zhou, Zhangli Lu, Huimin Luo, Xu Ju, Min Zeng, Min Li
Software Mentions: 4
Published: about 6 years ago
10.3389/fnins.2021.626723
Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study
Cited by: 5
Author(s): Nicolas Farrugia, Alix Lamouroux, Christophe Rocher, Jules Bouvet, Giulia Lioi
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0224143
Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data
Cited by: 14
Author(s): J. Abecassis, Anne-Sophie Hamy, Cécile Laurent, Benjamin Sadacca, Hélène Bonsang-Kitzis, Fabien Reyal, Jean-Philippe Vert
Software Mentions: 4
Published: almost 7 years ago
10.3390/ijerph181910438
COVID-19 Vaccine Hesitancy in the Month Following the Start of the Vaccination Process
Cited by: 25
Author(s): Liviu‐Adrian Cotfas, Camelia Delcea, Rareș Gherai
Software Mentions: 4
Published: almost 5 years ago
10.7554/eLife.57023
Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations
Cited by: 14
Author(s): Zhifang Ye, Liang Shi, Anqi Li, Chuansheng Chen, Gui Xue
Software Mentions: 4
Published: over 6 years ago
10.7554/eLife.63711
Standardized and reproducible measurement of decision-making in mice
Cited by: 72
Author(s): Valeria Aguillon-Rodriguez, Dora E. Angelaki, H Bayer, Niccolò Bonacchi, Matteo Carandini, Fanny Cazettes, Gaelle Chapuis, Anne K. Churchland, Yang Dan, Eric DeWitt, Mayo Faulkner, Hamish Forrest, Laura Haetzel, Michael Häusser, Sonja B. Hofer, Fei Hu, Anup Khanal, Christopher Krasniak, Inês Laranjeira, Zachary F. Mainen, Guido T. Meijer, Nathaniel J Miska, Thomas D. Mrsic-Flogel, Masayoshi Murakami, Jean‐Paul Noel, Alejandro Pan-Vazquez, Cyrille Rossant, Joshua I. Sanders, Karolina Socha, Rebecca Terry, Anne E Urai, Hernando Vergara, Miles J. Wells, Christian J. Wilson, Ilana B. Witten, Lauren E Wool, Anthony M. Zador
Software Mentions: 4
Published: over 5 years ago
10.2196/17364
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development
Cited by: 25
Author(s): Can Hou, Xiaorong Zhong, Ping He, Bin Xu, Sha Diao, Yi Fang, Hong Zheng, Jiayuan Li
Software Mentions: 4
Published: over 6 years ago
10.1155/2021/6668985
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19
Cited by: 20
Author(s): Nishant Jha, Deepak Prashar, Mamoon Rashid, Mohammad Shafiq, Razaullah Khan, Catalin I. Pruncu, Shams Tabrez Siddiqui, Manindra Kumar
Software Mentions: 4
Published: about 5 years ago
10.1186/s12859-018-2029-1
Deep learning of mutation-gene-drug relations from the literature
Cited by: 36
Author(s): Kyubum Lee, Byounggun Kim, Yong-Hwa Choi, Sunkyu Kim, Weon Ho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan, Jaewoo Kang
Software Mentions: 4
Published: over 8 years ago
10.1107/S2052252520008830
Machine learning deciphers structural features of RNA duplexes measured with solution X-ray scattering
Cited by: 11
Author(s): Yen-Lin Chen, Lois Pollack
Software Mentions: 4
Published: about 6 years ago
10.1186/s40246-021-00357-w
Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Cited by: 2
Author(s): Sung-Jae Kim, Jong-Yeon Shin, Nak‐Jung Kwon, Chang-Uk Kim, Changhoon Kim, Chong Sik Lee, Jeong‐Sun Seo
Software Mentions: 4
Published: about 5 years ago
10.1107/S2052252520000895
The predictive power of data-processing statistics
Cited by: 6
Author(s): M. Vollmar, James M. Parkhurst, Dominic Jaques, Arnaud Baslé, Garib N. Murshudov, David Waterman, Gwyndaf Evans
Software Mentions: 4
Published: over 6 years ago
10.1128/mSystems.00960-20
Human Gene Functional Network-Informed Prediction of HIV-1 Host Dependency Factors
Cited by: 3
Author(s): Chen Fu, Shiping Yang, Xiaodi Yang, Xianyi Lian, Yan Huang, Xiaobao Dong, Ziding Zhang
Software Mentions: 4
Published: almost 6 years ago
10.1016/j.molcel.2019.11.010
Functional Translatome Proteomics Reveal Converging and Dose-Dependent Regulation by mTORC1 and eIF2α
Cited by: 70
Author(s): Kevin Klann, Georg Tascher, Christian Münch
Software Mentions: 4
Published: over 6 years ago
10.12688/f1000research.52350.2
RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction
Cited by: 6
Author(s): Thaís Ramos, Nilbson R. O. Galindo, Raúl Arias‐Carrasco, Cecília F. da Silva, Vinícius Maracaja-Coutinho, Thaís Gaudêncio do Rêgo
Software Mentions: 4
Published: over 5 years ago
10.1007/s00330-020-07064-5
Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features
Cited by: 28
Author(s): Simon Bernatz, Jörg Ackermann, Philipp Mandel, Benjamin Kaltenbach, Yauheniya Zhdanovich, Patrick N. Harter, Claudia Döring, Renate Hammerstingl, Boris Bodelle, Kevin P. Smith, Andreas Bucher, Moritz H. Albrecht, Nicolas Rosbach, L Basten, Ibrahim Yel, Mike Wenzel, Katrin Bankov, Ina Koch, Felix K.‐H. Chun, Jens Köllermann, Peter J. Wild, Thomas J. Vogl
Software Mentions: 4
Published: about 6 years ago
10.1371/journal.pone.0222907
A comparison of machine learning algorithms for the surveillance of autism spectrum disorder
Cited by: 18
Author(s): Scott H. Lee, Matthew J. Maenner, Charles M. Heilig
Software Mentions: 4
Published: about 7 years ago
10.3389/fnbot.2019.00076
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression
Cited by: 3
Author(s): Lukas Dominique Josef Fiederer, Martin A. Volker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
Software Mentions: 4
Published: almost 7 years ago
10.1128/mSystems.00211-19
Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine Learning
Cited by: 16
Author(s): Finlay Maguire, Muhammad Attiq Rehman, Catherine D. Carrillo, Moussa S. Diarra, Robert G. Beiko
Software Mentions: 4
Published: about 7 years ago
10.1093/scan/nsaa141
HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis
Cited by: 38
Author(s): Anaël Ayrolles, Florence Brun, Yi‐Ping Phoebe Chen, Amir Djalovski, Yann Beauxis, Richard Delorme, Thomas Bourgeron, Suzanne Dikker, Guillaume Dumas
Software Mentions: 4
Published: almost 6 years ago
10.3390/s21186020
Biometric Identification Based on Eye Movement Dynamic Features
Cited by: 3
Author(s): Katarzyna Harężlak, Michal Blasiak, Paweł Kasprowski
Software Mentions: 4
Published: about 5 years ago
10.7150/thno.55676
A panel of selected serum protein biomarkers for the detection of aggressive prostate cancer
Cited by: 12
Author(s): Jin Song, Shiyong Ma, Lori J. Sokoll, Rodrigo Vargas Eguez, Naseruddin Höti, Hui Zhang, Phaedre Mohr, Renu Dua, Dattatraya Patil, Kristen Douglas May, Sierra Williams, Rebecca S. Arnold, Martin G. Sanda, Daniel W. Chan, Zhen Zhang
Software Mentions: 4
Published: over 5 years ago
10.3390/s21134546
Diagnostic of Operation Conditions and Sensor Faults Using Machine Learning in Sucker-Rod Pumping Wells
Cited by: 6
Author(s): João Nascimento, André Laurindo Maitelli, C. W. S. P. Maitelli, Anderson Luiz de Oliveira Cavalcanti
Software Mentions: 4
Published: about 5 years ago
10.3390/e22080849
Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms
Cited by: 10
Author(s): Weronika Węgier, Paweł Ksieniewicz
Software Mentions: 4
Published: about 6 years ago
10.3390/s21041157
Machine Learning and Simulation-Optimization Coupling for Water Distribution Network Contamination Source Detection
Cited by: 14
Author(s): Luka Grbčić, Lado Kranjčević, Siniša Družeta
Software Mentions: 4
Published: over 5 years ago
10.3390/s21093204
Hand Gesture Recognition Using EGaIn-Silicone Soft Sensors
Cited by: 10
Author(s): Sungtae Shin, Han Ul Yoon, Byung Hoon Yoo
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pmed.1002683
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Cited by: 809
Author(s): John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony Costa, J. Titano, Eric K. Oermann
Software Mentions: 4
Published: almost 8 years ago
10.1371/journal.pmed.1002697
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study
Cited by: 146
Author(s): Andrew G. Taylor, Clinton Mielke, John Mongan
Software Mentions: 4
Published: almost 8 years ago
10.1186/s12859-017-1751-4
Quantiprot - a Python package for quantitative analysis of protein sequences
Cited by: 8
Author(s): Bogumił M. Konopka, Marta Anna Marciniak, Witold Dyrka
Software Mentions: 4
Published: about 9 years ago
10.1371/journal.pone.0203839
Using wearable sensors to classify subject-specific running biomechanical gait patterns based on changes in environmental weather conditions
Cited by: 40
Author(s): Nizam Uddin Ahamed, Dylan Kobsar, Lauren C. Benson, Christian A. Clermont, Russell Kohrs, Sean T. Osis, Reed Ferber
Software Mentions: 4
Published: about 8 years ago
10.3390/s21124172
Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming
Cited by: 7
Author(s): Frank Loh, Fabian Poignée, Florian Wamser, Ferdinand Leidinger, Tobias Hoßfeld
Software Mentions: 4
Published: over 5 years ago
10.1016/j.mex.2020.101208
Optimization methods for the imputation of missing values in Educational Institutions Data
Cited by: 0
Author(s): Davide Aureli, Renato Bruni, Cinzia Daraio
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pgen.1008466
Paralog buffering contributes to the variable essentiality of genes in cancer cell lines
Cited by: 59
Author(s): Barbara De Kegel, Colm J. Ryan
Software Mentions: 4
Published: almost 7 years ago
10.1038/s41598-021-94696-2
Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data
Cited by: 25
Author(s): Santi García-Cremades, Juan Morales-García, Rocío Hernández-Sanjaime, Raquel Martínez‐España, Andrés Bueno-Crespo, Enrique Hernández-Orallo, José J. López-Espín, José M. Cecilia
Software Mentions: 4
Published: about 5 years ago
10.1371/journal.pone.0249424
miRGTF-net: Integrative miRNA-gene-TF network analysis reveals key drivers of breast cancer recurrence
Cited by: 15
Author(s): Stepan Nersisyan, A. V. Galatenko, Vladimir Galatenko, M. Yu. Shkurnikov, Alexander G. Tonevitsky
Software Mentions: 4
Published: over 5 years ago
10.1016/j.media.2020.101871
Accurate brain age prediction with lightweight deep neural networks
Cited by: 199
Author(s): Peng Han, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith
Software Mentions: 4
Published: over 5 years ago
10.1186/s12916-019-1292-y
Repeated clinical malaria episodes are associated with modification of the immune system in children
Cited by: 33
Author(s): Yaw Bediako, Rebecca N. Adams, Adam J. Reid, John Joseph Valletta, Francis M. Ndungu, Jan Sodenkamp, Jedidah Mwacharo, Joyce M. Ngoi, Domtila Kimani, Oscar Kai, Juliana Wambua, George Nyangweso, Etienne P. de Villiers, Mandy Sanders, Magda E. Lotkowska, Jing-wen Lin, Sabrina Manni, John W.G. Addy, Mario Recker, Chris Newbold, Matthew Berriman, Philip Bejon, Kevin Marsh, Jean Langhorne
Software Mentions: 4
Published: over 7 years ago
10.1371/journal.pgen.1008935
Horizontal transmission and recombination maintain forever young bacterial symbiont genomes
Cited by: 82
Author(s): Shelbi L. Russell, Evan Pepper-Tunick, Jesper Svedberg, Ashley Byrne, Jennie Ruelas Castillo, Christopher Vollmers, Roxanne A. Beinart, Russell Corbett-Detig
Software Mentions: 4
Published: about 6 years ago
10.3390/diagnostics11050738
Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds
Cited by: 8
Author(s): Andrej Romanov, Michael Bach, Shan Yang, Fabian Franzeck, Gregor Sommer, Constantin Anastasopoulos, Jens Bremerich, Bram Stieltjes, Thomas Weikert, Alexander Sauter
Software Mentions: 4
Published: over 5 years ago
10.1038/s41598-020-74500-3
SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning
Cited by: 25
Author(s): Erik Burlingame, Mary McDonnell, Geoffrey F. Schau, Guillaume Thibault, Christian Lanciault, Terry K. Morgan, Brett Johnson, Christopher L. Corless, Joe W. Gray, Young Hwan Chang
Software Mentions: 4
Published: almost 6 years ago
10.1016/j.csbj.2017.01.001
Detection of Side Chain Rearrangements Mediating the Motions of Transmembrane Helices in Molecular Dynamics Simulations of G Protein-Coupled Receptors
Cited by: 14
Author(s): Zied Gaieb, Dimitrios Morikis
Software Mentions: 4
Published: over 9 years ago
10.1038/s41598-020-77063-5
Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance
Cited by: 18
Author(s): Alexandre Hild Aono, Everardo Andrade da Costa, Hugo Vianna Silva Rody, James Shiniti Nagai, Ricardo José Gonzaga Pimenta, Melina Cristina Mancini, Fernanda Raquel Camilo dos Santos, Luciana Rossini Pinto, Marcos Guimarães de Andrade Landell, Anete Pereira de Souza, Reginaldo Massanobu Kuroshu
Software Mentions: 4
Published: almost 6 years ago
10.1371/journal.pcbi.1006520
Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis
Cited by: 13
Author(s): Tycho Bismeijer, Sander Canisius, Lodewyk Wessels
Software Mentions: 4
Published: almost 8 years ago
10.1371/journal.pcbi.1008347
Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability
Cited by: 30
Author(s): Javier Rasero, A. Sentis, Fang‐Cheng Yeh, Timothy Verstynen
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pcbi.1008001
Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites
Cited by: 2
Author(s): Ethan D. Evans, Dai Cl, Siavash Isazadeh, Shinkyu Park, Carlo Ratti, Eric J. Alm
Software Mentions: 4
Published: about 6 years ago
10.1155/2021/6679661
Fraudulent News Headline Detection with Attention Mechanism
Cited by: 1
Author(s): Hankun Liu, Daojing He, Sammy Chan
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pcbi.1009014
Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine
Cited by: 8
Author(s): Qiang Gu, Anup Kumar, Simon Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Grüning, Jeremy Goecks
Software Mentions: 4
Published: over 5 years ago
10.1038/s42003-020-01356-8
Machine learning enables improved runtime and precision for bio-loggers on seabirds
Cited by: 20
Author(s): Joseph Korpela, Hirokazu Suzuki, S. Matsumoto, Yuichi Mizutani, Masaki Samejima, Taira Maekawa, Junichi Nakai, Ken Yoda
Software Mentions: 4
Published: almost 6 years ago
10.1186/s12864-020-6722-x
MethGET: web-based bioinformatics software for correlating genome-wide DNA methylation and gene expression
Cited by: 15
Author(s): Chin-Sheng Teng, Bing-Heng Wu, Ming‐Ren Yen, Pao‐Yang Chen
Software Mentions: 4
Published: over 6 years ago
10.1038/s41598-020-64870-z
Correlation-centred variable selection of a gene expression signature to predict breast cancer metastasis
Cited by: 5
Author(s): Shiori Hikichi, Masahiro Sugimoto, Masaru Tomita
Software Mentions: 4
Published: over 6 years ago
10.1038/s41598-019-55978-y
Rumen Bacteria and Serum Metabolites Predictive of Feed Efficiency Phenotypes in Beef Cattle
Cited by: 30
Author(s): Brooke A. Clemmons, Cameron Martino, Joshua B. Powers, Shawn R. Campagna, Brynn H. Voy, Dallas R. Donohoe, James Gaffney, Mallory Embree, Phillip R. Myer
Software Mentions: 4
Published: almost 7 years ago
10.1371/journal.pcbi.1007348
Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting
Cited by: 64
Author(s): Alex X. Lu, Oren Kraus, Sam Cooper, Alan M. Moses
Software Mentions: 4
Published: about 7 years ago
10.1038/s42003-020-01233-4
A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model
Cited by: 28
Author(s): Yuhua Fu, Jingya Xu, Zhenshuang Tang, Lu Wang, Yin Ding, Yu Fan, Dongdong Zhang, Fei Deng, Yanping Zhang, Haohao Zhang, Haiyan Wang, Wenhui Xing, Lilin Yin, Shilin Zhu, Mengjin Zhu, Mei Yu, Xinyun Li, Xiaolei Liu, Xiaohui Yuan, Zhao Song
Software Mentions: 4
Published: about 6 years ago
10.1038/s42003-021-02289-6
Predicting the probability of death using proteomics
Cited by: 7
Author(s): Thjodbjorg Eiriksdottir, Steinthor Ardal, Benedikt Atli Jónsson, Sigrún H. Lund, Erna V. Ívarsdóttir, Kristjan Norland, Egil Ferkingstad, Hreinn Stefánsson, Ingileif Jónsdóttir, Hilma Hólm, Thorunn Rafnar, Jona Saemundsdottir, Gudmundur L. Norddahl, Guðmundur Þorgeirsson, Daníel F. Guðbjartsson, Patrick Sulem, Unnur Þorsteinsdóttir, Kári Stefansson, Magnus O. Ulfarsson
Software Mentions: 4
Published: over 5 years ago
10.1038/s41598-019-53471-0
Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma
Cited by: 31
Author(s): Chengzhang Li, Jiucheng Xu
Software Mentions: 4
Published: almost 7 years ago
10.1186/s12864-015-2270-1
Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis
Cited by: 66
Author(s): Wenli Li, Amy Turner, Praful Aggarwal, Andrea Matter, Erin Storvick, Donna K. Arnett, Ulrich Broeckel
Software Mentions: 4
Published: almost 11 years ago
10.1371/journal.pcbi.1008219
A simple, scalable approach to building a cross-platform transcriptome atlas
Cited by: 12
Author(s): Paul W. Angel, Nadia Rajab, Yidi Deng, Chris M. Pacheco, Tyrone Chen, Kim‐Anh Lê Cao, Jarny Choi, Christine A. Wells
Software Mentions: 4
Published: almost 6 years ago
10.1371/journal.pcbi.1008914
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
Cited by: 29
Author(s): Laetitia Hebert, Tosif Ahamed, Á. S. Costa, Liam O’Shaughnessy, Greg J. Stephens
Software Mentions: 4
Published: over 5 years ago
10.1186/s12859-017-1586-z
MOST: most-similar ligand based approach to target prediction
Cited by: 25
Author(s): Tao Huang, Hong Mi, Chengyuan Lin, Ling Zhao, Linda L. D. Zhong, Fengbin Liu, Ge Zhang, Aiping Lu, Zhaoxiang Bian
Software Mentions: 4
Published: over 9 years ago
10.1007/s00294-020-01096-6
Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality
Cited by: 11
Author(s): Anton Levitan, Andrew N. Gale, Emma Dallon, Darby W. Kozan, Kyle W. Cunningham, Roded Sharan, Judith Berman
Software Mentions: 4
Published: about 6 years ago
10.1038/s41598-019-39142-0
Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning
Cited by: 30
Author(s): Aidan O’Brien, Laurence O.W. Wilson, Gaétan Burgio, Denis C. Bauer
Software Mentions: 4
Published: over 7 years ago
10.1186/s12864-015-1491-7
Leaps and lulls in the developmental transcriptome of Dictyostelium discoideum
Cited by: 53
Author(s): Rafael D. Rosengarten, Balaji Santhanam, Danny Fuller, Mariko Katoh-Kurasawa, William F. Loomis, Blaž Zupan, Gad Shaulsky
Software Mentions: 4
Published: over 11 years ago
10.1093/bib/bbz170
Deep learning-based clustering approaches for bioinformatics
Cited by: 104
Author(s): Md. Rezaul Karim, Oya Beyan, Achille Zappa, Ivan G. Costa, Dietrich Rebholz‐Schuhmann, Michael Cochez, Stefan Decker
Software Mentions: 4
Published: over 6 years ago
10.1186/s13058-019-1159-3
On-treatment biomarkers can improve prediction of response to neoadjuvant chemotherapy in breast cancer
Cited by: 32
Author(s): Richard J. Bownes, Arran Turnbull, Carlos Martínez-Pérez, David Cameron, Andrew H. Sims, Olga Oikonomidou
Software Mentions: 4
Published: over 7 years ago
10.1038/s41598-020-64270-3
PATH - Prediction of Amyloidogenicity by Threading and Machine Learning
Cited by: 17
Author(s): Jakub W Wojciechowski, Małgorzata Kotulska
Software Mentions: 4
Published: over 6 years ago
10.1186/s12864-016-3320-z
Stable feature selection based on the ensemble L 1 -norm support vector machine for biomarker discovery
Cited by: 29
Author(s): Myungjin Moon, Kenta Nakai
Software Mentions: 4
Published: almost 10 years ago
10.1371/journal.pgen.1009713
Multitrait GWAS to connect disease variants and biological mechanisms
Cited by: 12
Author(s): Hanna Julienne, Vincent Laville, Zachary R. McCaw, Zihuai He, Vincent Guillemot, Carla Lasry, Andrey Ziyatdinov, Cyril Nerin, Amaury Vaysse, Pierre Lechat, Hervé Ménager, Wilfried Le Goff, Marie‐Pierre Dubé, Peter Kraft, Iuliana Ionita‐Laza, Bjarni J. Vilhjálmsson, Hugues Aschard
Software Mentions: 4
Published: about 5 years ago