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: about 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

10.3390/antibiotics8040225
A New Look at the Structures of Old Sepsis Actors by Exploratory Data Analysis Tools
Cited by: 8
Author(s): Antonio Gnoni, Emanuele De Nitto, Salvatore Scacco, Luigì Santacroce, Luigi Leonardo Palese
Software Mentions: 2
Published: almost 7 years ago
10.3389/fgene.2021.650897
Computational Studies of the Structural Basis of Human RPS19 Mutations Associated With Diamond-Blackfan Anemia
Cited by: 1
Author(s): Ke An, Jingbo Zhou, Yao Xiong, Han Wang, Tao Wang, Zhiqiang Ye, Yun Na Wu
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0227324
Applications of machine learning in decision analysis for dose management for dofetilide
Cited by: 26
Author(s): Andrew Levy, Minakshi Biswas, Rachel Weber, Khaldoun G. Tarakji, Mina K. Chung, Peter A. Noseworthy, Christopher Newton‐Cheh, Michael Rosenberg
Software Mentions: 2
Published: almost 7 years ago
10.1007/s00401-020-02171-5
Patient-derived orthotopic xenografts of pediatric brain tumors: a St. Jude resource
Cited by: 38
Author(s): Kyle Smith, Ke Xu, Kimberly Mercer, Frederick A. Boop, Paul Klimo, Michael DeCupyere, José Grenet, Sarah Robinson, Paige S. Dunphy, Suzanne J. Baker, David W. Ellison, Thomas E. Merchant, Santhosh A Upadayaya, Amar Gajjar, Gang Wu, Brent A. Orr, Giles Robinson, Paul A. Northcott, Martine F. Roussel
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pntd.0005962
Quantitative multiplexed proteomics of Taenia solium cysts obtained from the skeletal muscle and central nervous system of pigs
Cited by: 12
Author(s): José Navarrete-Perea, Marta Isasa, João A. Paulo, Ricardo Corral-Corral, Jeanette Flores-Bautista, Beatriz Hernández-Téllez, Raúl J. Bobes, Gladis Fragoso, Edda Sciutto, Xavier Soberón, Steven P. Gygi, Juan Pedro Laclette
Software Mentions: 2
Published: about 9 years ago
10.1371/journal.pone.0199839
Predicting acute kidney injury in cancer patients using heterogeneous and irregular data
Cited by: 24
Author(s): Namyong Park, Eunjeong Kang, Minsu Park, Hajeong Lee, Hee Gyung Kang, Hyung Jin Yoon, Ung Gu Kang
Software Mentions: 2
Published: over 8 years ago
10.1155/2021/6151651
Utterance Clustering Using Stereo Audio Channels
Cited by: 1
Author(s): Yingjun Dong, Neil G. MacLaren, Yiding Cao, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Hiroki Sayama, Gregory A. Ruark
Software Mentions: 2
Published: about 5 years ago
10.3390/molecules24102025
Applications of Photonics in Agriculture Sector: A Review
Cited by: 26
Author(s): Tan Jin Yeong, Pin Jern Ker, Kuen Yao Lau, M. A. Hannan, Shirley Gee Hoon Tang
Software Mentions: 2
Published: over 7 years ago
10.3390/molecules24152752
Revisiting the Allosteric Regulation of Sodium Cation on the Binding of Adenosine at the Human A2A Adenosine Receptor: Insights from Supervised Molecular Dynamics (SuMD) Simulations
Cited by: 7
Author(s): Maicol Bissaro, Giovanni Bolcato, Giuseppe Deganutti, Mattia Sturlese, Stefano Moro
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pone.0193152
Automatically measuring brain ventricular volume within PACS using artificial intelligence
Cited by: 21
Author(s): Fernando Yepes-Calderón, Marvin D. Nelson, J. Gordon McComb
Software Mentions: 2
Published: over 8 years ago
10.1371/journal.pone.0108438
Combining Physicochemical and Evolutionary Information for Protein Contact Prediction
Cited by: 19
Author(s): Michael Schneider, Oliver Brock
Software Mentions: 2
Published: about 12 years ago
10.1371/journal.pone.0107353
Combining Structural Modeling with Ensemble Machine Learning to Accurately Predict Protein Fold Stability and Binding Affinity Effects upon Mutation
Cited by: 70
Author(s): Niklas Berliner, Joan Teyra, Recep Çolak, Sebastian Garcia Lopez, Philip M. Kim
Software Mentions: 2
Published: about 12 years ago
10.1186/s12859-019-3238-y
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces
Cited by: 9
Author(s): Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao, Jinyan Li
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0222665
Machine learning discovery of longitudinal patterns of depression and suicidal ideation
Cited by: 12
Author(s): Jue Gong, Gregory E. Simon, Shan Liu
Software Mentions: 2
Published: about 7 years ago
10.3390/molecules24040743
Machine Learning Approach for Determining the Formation of β-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral Analysis
Cited by: 5
Author(s): Mikołaj Mizera, Kornelia Lewandowska, Andrzej Miklaszewski, Judyta Cielecka‐Piontek
Software Mentions: 2
Published: over 7 years ago
10.1016/j.molcel.2018.11.031
Target-Specific Precision of CRISPR-Mediated Genome Editing
Cited by: 165
Author(s): Anob M. Chakrabarti, Tristan Henser-Brownhill, Josep Monserrat, Anna R. Poetsch, Nicholas M. Luscombe, Paola Scaffidi
Software Mentions: 2
Published: almost 8 years ago
10.1038/s41598-019-43403-3
Recognition of 3′-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models
Cited by: 0
Author(s): Alexander Shein, Anton Zaikin, Maria Poptsova
Software Mentions: 2
Published: over 7 years ago
10.1021/acs.jpcb.1c01946
Implementation of the Freely Jointed Chain Model to Assess Kinetics and Thermodynamics of Thermosensitive Coil–Globule Transition by Markov States
Cited by: 4
Author(s): Patrick K. Quoika, Monica L. Fernández‐Quintero, Maren Podewitz, Florian Hofer, Klaus R. Liedl
Software Mentions: 2
Published: over 5 years ago
10.3389/fphar.2020.606668
Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep Learning
Cited by: 27
Author(s): Liangxu Xie, Lei Xu, Ren Kong, Shan Chang, Xiaojun Xu
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pone.0079728
C-PAmP: Large Scale Analysis and Database Construction Containing High Scoring Computationally Predicted Antimicrobial Peptides for All the Available Plant Species
Cited by: 32
Author(s): Anastasia Niarchou, Αναστασία Αλεξανδρίδου, Emmanouil Athanasiadis, George M. Spyrou
Software Mentions: 2
Published: about 13 years ago
10.1186/s12859-021-04272-8
A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns
Cited by: 0
Author(s): Wan Kin Au Yeung, Osamu Maruyama, Hidetada Sasaki
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0127659
QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting
Cited by: 27
Author(s): Dominic Waithe, Peter Rennert, Gabriel J. Brostow, Matthew D. W. Piper
Software Mentions: 2
Published: over 11 years ago
10.1371/journal.pone.0170625
Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking
Cited by: 7
Author(s): Alexander Sasse, Sjoerd J. de Vries, Christina Schindler, Isaure Chauvot de Beauchêne, Martin Zacharias
Software Mentions: 2
Published: almost 10 years ago
10.1371/journal.pone.0204371
LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer
Cited by: 5
Author(s): Konstantin Babalyan, Rinat Sultanov, Edward V. Generozov, Е. И. Шарова, Elena S. Kostryukova, Andrey K. Larin, Alexandra Kanygina, Vadim M. Govorun, Georgij Arapidi
Software Mentions: 2
Published: about 8 years ago
10.1371/journal.pone.0251701
Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model
Cited by: 23
Author(s): Ştefan Udriştoiu, Irina M. Cazacu, Lucian Gheorghe Gruionu, Gabriel Gruionu, Andreea Valentina Iacob, Daniela Elena Burtea, Bogdan Silviu Ungureanu, Mădălin Ionuț Costache, Alina Constantin, Carmen Popescu, Ştefan Udriştoiu, Adrian Săftoiu
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0228105
Machine learning for syndromic surveillance using veterinary necropsy reports
Cited by: 13
Author(s): Nathan Bollig, Lorelei L. Clarke, Elizabeth J. Elsmo, Mark Craven
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0198806
Information spreading by a combination of MEG source estimation and multivariate pattern classification
Cited by: 21
Author(s): Masashi Sato, Okito Yamashita, Masa‐aki Sato, Yoichi Miyawaki
Software Mentions: 2
Published: over 8 years ago
10.1038/s41598-019-45333-6
EEG Decoding Reveals the Strength and Temporal Dynamics of Goal-Relevant Representations
Cited by: 31
Author(s): Jason Hubbard, Atsushi Kikumoto, Ulrich Mayr
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pone.0245234
Supervised machine learning for automated classification of human Wharton’s Jelly cells and mechanosensory hair cells
Cited by: 1
Author(s): Abihith Kothapalli, Hinrich Staecker, Adam J. Mellott
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pone.0234647
FasTag: Automatic text classification of unstructured medical narratives
Cited by: 20
Author(s): Guhan Venkataraman, Arturo López Pineda, Oliver J. Bear Don’t Walk, Ashley Zehnder, Sandeep Ayyar, Rodney L. Page, Carlos D. Bustamante, Manuel A. Rivas
Software Mentions: 2
Published: over 6 years ago
10.3389/fphar.2020.00770
Accelerating Therapeutics for Opportunities in Medicine: A Paradigm Shift in Drug Discovery
Cited by: 41
Author(s): Izumi V. Hinkson, Benjamin D. Madej, Eric Stahlberg
Software Mentions: 2
Published: over 6 years ago
10.3390/ijms22062847
An Inverse QSAR Method Based on a Two-Layered Model and Integer Programming
Cited by: 5
Author(s): Yu Shi, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0253302
Predicting malaria epidemics in Burkina Faso with machine learning
Cited by: 8
Author(s): David Harvey, Wessel Valkenburg, Amara Amara
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0223318
Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach
Cited by: 16
Author(s): Patrick Ward, Peter Rock, Svetla Slavova, April M. Young, Terry Bunn, Ramakanth Kavuluru
Software Mentions: 2
Published: about 7 years ago
10.1038/s41598-019-47484-y
Comprehensive feature selection for classifying the treatment outcome of high-intensity ultrasound therapy in uterine fibroids
Cited by: 20
Author(s): Visa Suomi, Gaber Komar, Teija Sainio, Kirsi Joronen, Antti Perheentupa, Roberto Blanco Sequeiros
Software Mentions: 2
Published: over 7 years ago
10.1245/s10434-020-08659-4
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study
Cited by: 32
Author(s): Lizhi Shao, Zhenyu Liu, Lili Feng, Xiaoying Lou, Zhenhui Li, Xiao Yan Zhang, Xiang-Bo Wan, Xuezhi Zhou, Kai Sun, Da Fu Zhang, Lin Wu, Guanyu Yang, Ying Sun, Rui‐hua Xu, Xinjuan Fan, Jie Tian
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0230599
Understanding biochemical design principles with ensembles of canonical non-linear models
Cited by: 4
Author(s): Lukas Bromig, Andreas Kremling, Alberto Marı́n-Sanguino
Software Mentions: 2
Published: over 6 years ago
10.1186/s12859-019-3050-8
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection
Cited by: 46
Author(s): Alejandro Lopez-Rincon, Marlet Martínez‐Archundia, Gustavo Ulises Martínez-Ruiz, Alexander Schoenhuth, Alberto Tonda
Software Mentions: 2
Published: about 7 years ago
10.1186/s12859-019-2833-2
MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks
Cited by: 42
Author(s): Chieh Lo, Radu Mărculescu
Software Mentions: 2
Published: over 7 years ago
10.3389/fphar.2020.00067
Development of Prediction Models for Drug-Induced Cholestasis, Cirrhosis, Hepatitis, and Steatosis Based on Drug and Drug Metabolite Structures
Cited by: 13
Author(s): Hyun Kil Shin, Myung-Gyun Kang, Daeui Park, Tamina Park, Soon-Seek Yoon
Software Mentions: 2
Published: over 6 years ago
10.1128/mSystems.00219-18
q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
Cited by: 180
Author(s): Nicholas A. Bokulich, Matthew R. Dillon, Yilong Zhang, Jai Ram Rideout, Evan Bolyen, LI Hui-lin, Paul S. Albert, J. Gregory Caporaso
Software Mentions: 2
Published: about 8 years ago
10.1371/journal.pone.0205097
Novel knowledge-based system with relation detection and textual evidence for question answering research
Cited by: 4
Author(s): Haitao Zheng, Zuo-You Fu, Jin‐Yuan Chen, Arun Kumar Sangaiah, Yong Jiang, Cong-Zhi Zhao
Software Mentions: 2
Published: about 8 years ago
10.1371/journal.pone.0243622
Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches
Cited by: 11
Author(s): David S. Campo, Joseph W. Gussler, Amanda Sue, Pavel Skums, Yury Khudyakov
Software Mentions: 2
Published: almost 6 years ago
10.3389/fpls.2021.690124
Predicting Protein–Protein Interactions Between Rice and Blast Fungus Using Structure-Based Approaches
Cited by: 8
Author(s): Cunjian Zheng, Yuan Liu, Fangnan Sun, Lingxia Zhao, Lida Zhang
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0254720
Evaluating the impact of multivariate imputation by MICE in feature selection
Cited by: 22
Author(s): Maritza Mera-Gaona, Ursula Neumann, Rubiel Vargas-Cañas, Diego M. López
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0217527
Prediction of risk scores for colorectal cancer patients from the concentration of proteins involved in mitochondrial apoptotic pathway
Cited by: 15
Author(s): Anjali Lathwal, Chakit Arora, Gajendra P. S. Raghava
Software Mentions: 2
Published: about 7 years ago
10.1371/journal.pone.0119301
Systematic Artifacts in Support Vector Regression-Based Compound Potency Prediction Revealed by Statistical and Activity Landscape Analysis
Cited by: 25
Author(s): Jenny Balfer, Jürgen Bajorath
Software Mentions: 2
Published: over 11 years ago
10.1371/journal.pone.0207385
Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data
Cited by: 16
Author(s): Javier Rasero, Hannelore Aerts, Marlis Ontivero Ortega, Jesús M. Cortes, Sebastiano Stramaglia, Daniele Marinazzo
Software Mentions: 2
Published: almost 8 years ago
10.1371/journal.pone.0232376
Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex
Cited by: 20
Author(s): Iván Sánchez Fernández, Edward Yang, Paola Calvachi, Marta Amengual‐Gual, Joyce Wu, Darcy A. Krueger, Hope Northrup, Martina Bebin, Mustafa Şahin, Kun‐Hsing Yu, Jurriaan M. Peters
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0250458
Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN
Cited by: 8
Author(s): Chang‐Hyuk Kwon, Sangjin Park, Soohyun Ko, Jaegyoon Ahn
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0181152
Cerebral 18F-FDG PET in macrophagic myofasciitis: An individual SVM-based approach
Cited by: 6
Author(s): Paul Blanc-Durand, Axel Van Der Gucht, Éric Guedj, Mukedaisi Abulizi, Mehdi Aoun-Sebaïti, Lionel Lerman, Antoine Verger, François‐Jérôme Authier, Emmanuel Itti
Software Mentions: 2
Published: over 9 years ago
10.1371/journal.pone.0250952
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
Cited by: 39
Author(s): Mehdi Yousefzadeh, Parsa Esfahanian, M. Sadegh Movahed, Saeid Gorgin, Dara Rahmati, Atefeh Abedini, Seyed Alireza Nadji, Sara Haseli, Mohammad Karam, Arda Kiani, Meisam Hoseinyazdi, Jafar Roshandel, Reza Lashgari
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0249196
Deep learning classification of lipid droplets in quantitative phase images
Cited by: 10
Author(s): Luke Sheneman, Gregory Stephanopoulos, Andreas E. Vasdekis
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0199089
Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase
Cited by: 22
Author(s): Alexander Aushev, Vicent Ribas Ripoll, Alfredo Vellido, Federico Aletti, Bernardo Bollen Pinto, Antoine Herpain, Emiel Hendrik Post, Eduardo Romay Medina, Ricard Ferrer, Giuseppe Baselli, Karim Bendjelid
Software Mentions: 2
Published: almost 8 years ago
10.1371/journal.pone.0253851
Persistent homology as a new method of the assessment of heart rate variability
Cited by: 6
Author(s): Grzegorz Graff, Beata Graff, Paweł Pilarczyk, Grzegorz Jabłoński, Dariusz Gąsecki, Krzysztof Narkiewicz
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0176486
A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine
Cited by: 25
Author(s): Qi Wang, Yanghe Feng, Jincai Huang, Tengjiao Wang, Guangquan Cheng
Software Mentions: 2
Published: over 9 years ago
10.1371/journal.pone.0230136
BRAF V600E mutational load as a prognosis biomarker in malignant melanoma
Cited by: 9
Author(s): Arrate Sevilla, María–Celia Morales, Pilar Ariadna Ezkurra, Javier Rasero, Verónica Velasco, Goikoane Cancho-Galan, Ana Sánchez-Díez, Karmele Mujika, Cristina Penas, Isabel Smith, Aintzane Asumendi, Jesús M. Cortés, María Dolores Boyano, Santos Alonso
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0230049
Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records
Cited by: 34
Author(s): Brian Hur, Laura Y. Hardefeldt, Karin Verspoor, Timothy Baldwin, James R. Gilkerson
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0237587
FeAture Explorer (FAE): A tool for developing and comparing radiomics models
Cited by: 101
Author(s): Yang Song, Jing Zhang, Yudong Zhang, Ying Hou, Yan Xu, Yida Wang, Minxiong Zhou, Yefeng Yao, Guang Yang
Software Mentions: 2
Published: about 6 years ago
10.1371/journal.pone.0246980
Development and validation of a cellular host response test as an early diagnostic for sepsis
Cited by: 17
Author(s): Lionel Guillou, Roya Sheybani, Anne E. Jensen, Dino Di Carlo, Terrell Caffery, Christopher Thomas, Ajay Shah, Henry T. K. Tse, Hollis R. O’Neal
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0219389
Document vectorization method using network information of words
Cited by: 3
Author(s): Sang Yup Lee
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pone.0242375
Altered kinetics of circulating progenitor cells in cardiopulmonary bypass (CPB) associated vasoplegic patients: A pilot study
Cited by: 0
Author(s): Sanhita Nandi, Uma Rani Potunuru, Chandrani Kumari, Abel Arul Nathan, Jayashree Gopal, Gautam I. Menon, Rahul Siddharthan, Madhulika Dixit, Paul Ramesh Thangaraj
Software Mentions: 2
Published: almost 6 years ago
10.3390/cancers13153723
Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models
Cited by: 5
Author(s): Xiaoyang Liu, Farhad Maleki, N. Moorthy Muthukrishnan, Katie Ovens, Shao Hui Huang, Almudena Pérez Lara, Griselda Romero-Sánchez, Sahir Bhatnagar, A. Chatterjee, Marc Pusztaszeri, Alan Spatz, Gerald Batist, Sam Payabvash, Stefan P. Haider, Amit Mahajan, Caroline Reinhold, Behzad Forghani, Eugene Yu, Reza Forghani
Software Mentions: 2
Published: over 5 years ago
10.3390/cancers13112766
Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Cited by: 38
Author(s): Gizem Tanriver, Merva Soluk Tekkeşın, Onur Ergen
Software Mentions: 2
Published: over 5 years ago
10.3390/cancers13102342
Voxelwise Principal Component Analysis of Dynamic [S-Methyl-11C]Methionine PET Data in Glioma Patients
Cited by: 9
Author(s): Corentin Martens, Olivier Debeir, Christine Decaestecker, Thierry Metens, Laetitia Lebrun, Gil Leurquin‐Sterk, Nicola Trotta, Serge Goldman, Gaëtan Van Simaeys
Software Mentions: 2
Published: over 5 years ago
10.3390/cancers11111680
Radiomics Model Based on Non-Contrast CT Shows No Predictive Power for Complete Pathological Response in Locally Advanced Rectal Cancer
Cited by: 22
Author(s): Gordian Hamerla, Hans‐Jonas Meyer, Peter Hambsch, U. Wolf, Thomas Kuhnt, Karl‐Titus Hoffmann, Alexey Surov
Software Mentions: 2
Published: about 7 years ago
10.3390/cancers13133106
SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data
Cited by: 1
Author(s): Yogesh Kalakoti, Shashank Yadav, Durai Sundar
Software Mentions: 2
Published: over 5 years ago
10.3390/cancers11111751
The Performance of Different Artificial Intelligence Models in Predicting Breast Cancer among Individuals Having Type 2 Diabetes Mellitus
Cited by: 7
Author(s): Meng-Hsuen Hsieh, Li‐Min Sun, Cheng‐Li Lin, Meng-Ju Hsieh, Chung Y. Hsu, Chia Hung Kao
Software Mentions: 2
Published: about 7 years ago
10.1016/j.celrep.2021.109566
Synchronization patterns reveal neuronal coding of working memory content
Cited by: 11
Author(s): Fahimeh Mamashli, Sheraz Khan, Matti S. Hämäläinen, Mainak Jas, Tommi Raij, Steven M. Stufflebeam, Aapo Nummenmaa, Jyrki Ahveninen
Software Mentions: 2
Published: over 5 years ago
10.1016/j.celrep.2020.02.094
Machine Learning Uncovers Food- and Excipient-Drug Interactions
Cited by: 34
Author(s): Daniel Reker, Yulei Shi, Ameya R. Kirtane, Kaitlyn Hess, Grace Zhong, Evan Crane, Chin‐Feng Lin, Robert Langer, Giovanni Traverso
Software Mentions: 2
Published: over 6 years ago
10.3390/cells9020326
Computational Detection of Breast Cancer Invasiveness with DNA Methylation Biomarkers
Cited by: 5
Author(s): Chuyu Wang, Ning Zhao, Linlin Yuan, Xiaoyan Liu
Software Mentions: 2
Published: almost 7 years ago
10.1093/texcom/tgaa066
Cortical Tuning is Impaired After Perceptual Experience in Primary Visual Cortex of Serotonin Transporter-Deficient Mice
Cited by: 0
Author(s): Alexandr Pak, Alexander A. Chubykin
Software Mentions: 2
Published: almost 7 years ago
10.1039/c9sc05999g
Benchmarking the acceleration of materials discovery by sequential learning
Cited by: 74
Author(s): Brian A. Rohr, Helge S. Stein, Dan Guevarra, Yu Wang, Joel A. Haber, Muratahan Aykol, Santosh K. Suram, John M. Gregoire
Software Mentions: 2
Published: almost 7 years ago
10.1038/s42003-020-01535-7
Fast automated detection of COVID-19 from medical images using convolutional neural networks
Cited by: 38
Author(s): Shuang Liang, Huixiang Liu, Yu Gu, Xiuhua Guo, Hongjun Li, Li Li, Zhiyuan Wu, Mengyang Li, Lixin Tao
Software Mentions: 2
Published: almost 6 years ago
10.1038/s42003-019-0707-9
Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates
Cited by: 23
Author(s): Christopher Heelan, Ji-Hun Lee, Ronan O’Shea, Laurie Lynch, David M. Brandman, Wilson Truccolo, A. V. Nurmikko
Software Mentions: 2
Published: almost 7 years ago
10.3389/fpls.2019.00809
California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach
Cited by: 45
Author(s): Zhou Zhang, Yufang Jin, Бин Чэн, Patrick H. Brown
Software Mentions: 2
Published: over 7 years ago
10.3389/fpsyt.2020.604478
Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019
Cited by: 5
Author(s): Pedro F. da Costa, Jessica Dafflon, Walter Hugo Lopez Pinaya
Software Mentions: 2
Published: almost 6 years ago
10.3389/fpsyt.2021.626677
Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework
Cited by: 12
Author(s): Chen Yuan Kuo, Tsung Ming Tai, Pei‐Lin Lee, Chiu Wang Tseng, Chieh Yu Chen, Liang Kung Chen, Cheng Kuang Lee, Kun Hsien Chou, Simon See, Ching Po Lin
Software Mentions: 2
Published: over 5 years ago
10.3389/fpsyg.2020.624137
Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech
Cited by: 30
Author(s): R’mani Haulcy, James Glass
Software Mentions: 2
Published: almost 6 years ago
10.1534/g3.116.038448
Genomic Data Quality Impacts Automated Detection of Lateral Gene Transfer in Fungi
Cited by: 21
Author(s): Pierre‐Yves Dupont, Murray P. Cox
Software Mentions: 2
Published: over 9 years ago
10.3390/genes9100478
An Improved Method for Prediction of Cancer Prognosis by Network Learning
Cited by: 32
Author(s): Min‐Seon Kim, Ilhwan Oh, Jaegyoon Ahn
Software Mentions: 2
Published: about 8 years ago
10.1534/genetics.116.195214
Detecting High-Order Epistasis in Nonlinear Genotype-Phenotype Maps
Cited by: 114
Author(s): Zachary Sailer, Michael J. Harms
Software Mentions: 2
Published: over 9 years ago
10.1186/s13059-016-0957-5
Single-cell analysis of CD4+ T-cell differentiation reveals three major cell states and progressive acceleration of proliferation
Cited by: 62
Author(s): Valentina Proserpio, Andrea Piccolo, Liora Haim-Vilmovsky, Gozde Kar, Tapio Lönnberg, Valentine Svensson, Jhuma Pramanik, Kedar Nath Natarajan, Weichao Zhai, Xiuwei Zhang, Giacomo Donati, Melis Kayikci, Jurij Kotar, Andrew N. J. McKenzie, Ruddy Montandon, Oliver Billker, Steven Woodhouse, Pietro Cicuta, Mario Nicodemi, Sarah A. Teichmann
Software Mentions: 2
Published: over 10 years ago
10.1186/s13059-017-1189-z
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning
Cited by: 340
Author(s): Christof Angermueller, Heather Lee, Wolf Reik
Software Mentions: 2
Published: over 9 years ago
10.1186/s13059-019-1776-2
Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation
Cited by: 62
Author(s): Channabasavaiah B. Gurumurthy, Aidan O’Brien, Rolen M. Quadros, John Adams, Pilar Alcaide, Shin-ichi Ayabe, Johnathan Ballard, Surinder K. Batra, Marie-Ève Beauchamp, Kathleen A. Becker, Guillaume Bernas, David Brough, Francisco Carrillo‐Salinas, Wesley Chan, Hanying Chen, Ruby Dawson, Victoria DeMambro, Jinke D’Hont, Katharine M. Dibb, James D. Eudy, Lin Gan, Jing Gao, Amy Gonzales, Anyonya R. Guntur, Hongqian Guo, Donald W. Harms, Anne Harrington, Kathryn E. Hentges, Neil Humphreys, Shiho Imai, Hideshi Ishii, Mizuho Iwama, Eric Jonasch, Michelle Karolak, Bernard Keavney, Nay Chi Khin, Masamitsu Konno, Yuko Kotani, Yayoi Kunihiro, Imayavaramban Lakshmanan, Catherine Larochelle, Catherine B. Lawrence, Lin Li, Volkhard Lindner, Xian De Liu, Gloria López-Castejón, A. S. I. Loudon, Jenna Lowe, Loydie A. Jerome-Majewska, Taiji Matsusaka, Hiromi Miura, Yoshiki Miyasaka, Benjamin Morpurgo, Katherine J. Motyl, Yo Ichi Nabeshima, Koji Nakade, Toshiaki Nakashiba, Ken‐ichi Nakashima, Yuichi Obata, Sanae Ogiwara, Mario Ouellet, Leif Oxburgh, Sandra Piltz, Ilka Pinz, Moorthy P. Ponnusamy, David Ray, Ronald Redder, Clifford J. Rosen, Nikki Ross, Mark T. Ruhe, Larisa Ryzhova, Ane M. Salvador, Sabrina Alam, Radislav Sedláček, Karan Sharma, Chad Smith, Katrien Staes, Lora Starrs, Fumihiro Sugiyama, Satoru Takahashi, Tomohiro Tanaka, Andrew W. Trafford, Yoshihiro Uno, Leen Vanhoutte, Frederique Vanrockeghem, Brandon Willis, Christian S Wright, Yuko Yamauchi, Xin Yi, Kazuto Yoshimi, Xuesong Zhang, Yu Zhang, Masato Ohtsuka, Satyabrata Das, Daniel J. Garry, Tino Hochepied, Paul Q. Thomas, Jan Parker-Thornburg, Antony Adamson, Atsushi Yoshiki, Jean Francois Schmouth, Андрей Головко, William R. Thompson, Kevin C K Lloyd, Joshua A. Wood, Mitra Cowan, Tomoji Mashimo, Seiya Mizuno, Min Zhu, Petr Kašpárek, Lucy Liaw, Joseph M. Miano, Gaétan Burgio
Software Mentions: 2
Published: about 7 years ago
10.1186/s13059-020-02065-5
Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data
Cited by: 18
Author(s): C. Anthony Scott, Jack D. Duryea, Harry A. Mackay, Maria S. Baker, Eleonora Laritsky, T.D.C.P. Gunasekara, Cristian Coarfa, Robert A. Waterland
Software Mentions: 2
Published: over 6 years ago
10.1186/s13059-020-02251-5
Crosstalk between codon optimality and cis-regulatory elements dictates mRNA stability
Cited by: 26
Author(s): Santiago G. Medina-Muñoz, Gopal Kushawah, Luciana Andrea Castellano, Michay Diez, Michelle Lynn DeVore, María José Blanco Salazar, Ariel Bazzini
Software Mentions: 2
Published: almost 6 years ago
10.1186/s13059-021-02499-5
Biologically relevant transfer learning improves transcription factor binding prediction
Cited by: 21
Author(s): Gherman Novakovsky, Manu Saraswat, Oriol Fornés, Sara Mostafavi, Wyeth W. Wasserman
Software Mentions: 2
Published: about 5 years ago
10.1186/s13073-017-0456-7
Interrogating the “unsequenceable” genomic trinucleotide repeat disorders by long-read sequencing
Cited by: 66
Author(s): Qian Liu, Peng Zhang, Depeng Wang, Wei Gu, Kai Wang
Software Mentions: 2
Published: over 9 years ago
10.1186/s13073-019-0686-y
Text-mining clinically relevant cancer biomarkers for curation into the CIViC database
Cited by: 33
Author(s): Jake Lever, Martin Jones, Arpad Danos, Kilannin Krysiak, Melika Bonakdar, Jasleen K. Grewal, Luka Culibrk, Obi L. Griffith, Malachi Griffith, Steven J.M. Jones
Software Mentions: 2
Published: almost 7 years ago
10.1186/s13073-021-00957-0
Gut microbial determinants of clinically important improvement in patients with rheumatoid arthritis
Cited by: 36
Author(s): Vinod Kumar Gupta, Kevin Y. Cunningham, Benjamin Hur, Utpal Bakshi, Harvey Huang, Kenneth J. Warrington, Veena Taneja, Elena Myasoedova, John M. Davis, Jaeyun Sung
Software Mentions: 2
Published: about 5 years ago
10.1186/2047-217X-3-28
How machine learning is shaping cognitive neuroimaging
Cited by: 101
Author(s): Gaël Varoquaux, Bertrand Thirion
Software Mentions: 2
Published: almost 12 years ago
10.3390/healthcare8030272
Automatic Incident Triage in Radiation Oncology Incident Learning System
Cited by: 10
Author(s): Khajamoinuddin Syed, William C. Sleeman, Michael P. Hagan, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh
Software Mentions: 2
Published: about 6 years ago
10.1038/s41598-020-57900-3
Single-cell dispensing and ‘real-time’ cell classification using convolutional neural networks for higher efficiency in single-cell cloning
Cited by: 18
Author(s): Julian Riba, Jonas Schoendube, Stefan Zimmermann, Peter Koltay, Roland Zengerle
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-020-58467-9
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Cited by: 236
Author(s): Osamu Iizuka, Fahdi Kanavati, Kei Kato, Michael Rambeau, Koji Arihiro, Masayuki Tsuneki
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-020-58804-y
Identification of gene signature for treatment response to guide precision oncology in clear-cell renal cell carcinoma
Cited by: 15
Author(s): Ninadh Malrina D’Costa, Davide P. Cinà, Raunak Shrestha, Robert H. Bell, Yen-Yi Lin, Hossein Asghari, César Monjarás‐Ávila, Christian Kollmannsberger, Faraz Hach, Claudia Chávez-Muñoz, Alan So
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-020-59553-8
Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches
Cited by: 28
Author(s): Rino Ragno, Rosanna Papa, Alexandros Patsilinakos, Gianluca Vrenna, Stefania Garzoli, Vanessa Tuccio Guarna Assanti, E. Fiscarelli, Laura Selan, Marco Artini
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-020-60740-w
Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning
Cited by: 18
Author(s): Shikha Roy, Rakesh Kumar, Vaibhav Mittal, Dinesh Gupta
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-020-68853-y
Cortical network responses map onto data-driven features that capture visual semantics of movie fragments
Cited by: 6
Author(s): Julia Berezutskaya, Zachary V. Freudenburg, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven, N.F. Ramsey
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-020-68858-7
Inferring disease subtypes from clusters in explanation space
Cited by: 16
Author(s): Marc-André Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis
Software Mentions: 2
Published: over 6 years ago