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
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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
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
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+2840
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142 contributors with educational email addresses -
+20
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Repository owned by academic institution -
+15
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Repository owned by research institution -
+6
Science terms in README
3 scientific terms found in README
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.1016/j.molcel.2018.11.031
Target-Specific Precision of CRISPR-Mediated Genome EditingCited by: 165
Author(s): Anob M. Chakrabarti, Tristan Henser-Brownhill, Josep Monserrat, Anna R. Poetsch, Nicholas M. Luscombe, Paola Scaffidi
Software Mentions: 2
Published: over 7 years ago
10.3390/molecules24040743
Machine Learning Approach for Determining the Formation of β-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral AnalysisCited by: 5
Author(s): Mikołaj Mizera, Kornelia Lewandowska, Andrzej Miklaszewski, Judyta Cielecka‐Piontek
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) SimulationsCited by: 7
Author(s): Maicol Bissaro, Giovanni Bolcato, Giuseppe Deganutti, Mattia Sturlese, Stefano Moro
Software Mentions: 2
Published: about 7 years ago
10.3390/molecules24102025
Applications of Photonics in Agriculture Sector: A ReviewCited 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/molecules26010020
Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated DataCited by: 3
Author(s): Reynaldo Villarreal-González, Antonio Acosta-Hoyos, Jaime A Garzon-Ochoa, Nataly J. Galán‐Freyle, Paola Amar-Sepúlveda, Leonardo C. Pacheco‐Londoño
Software Mentions: 2
Published: over 5 years ago
10.3390/molecules26154678
CYPstrate: A Set of Machine Learning Models for the Accurate Classification of Cytochrome P450 Enzyme Substrates and Non-SubstratesCited by: 4
Author(s): Malte Holmer, Christina de Bruyn Kops, Conrad Stork, Johannes Kirchmair
Software Mentions: 2
Published: about 5 years ago
10.3390/molecules25245901
Towards Deep Neural Network Models for the Prediction of the Blood–Brain Barrier Permeability for Diverse Organic CompoundsCited by: 17
Author(s): Eugene V. Radchenko, Alina S Dyabina, Vladimir A. Palyulin
Software Mentions: 2
Published: over 5 years ago
10.1093/ve/veaa106
Tuning intrinsic disorder predictors for virus proteinsCited by: 3
Author(s): Gal Almog, Abayomi S Olabode, Art F. Y. Poon
Software Mentions: 2
Published: over 5 years ago
10.3390/v13081574
A Genome-Wide CRISPR/Cas9 Screen Reveals the Requirement of Host Sphingomyelin Synthase 1 for Infection with Pseudorabies Virus Mutant gD–PassCited by: 6
Author(s): Julia E. Hölper, Finn Grey, J Kenneth Baillie, Tim Regan, Nick Parkinson, Dirk W. Höper, Thiprampai Thamamongood, Martin Schwemmle, Katrin Pannhorst, Lisa Wendt, Thomas C. Mettenleiter, Barbara G. Klupp
Software Mentions: 2
Published: about 5 years ago
10.1016/j.wroa.2021.100093
Predictive water virology using regularized regression analyses for projecting virus inactivation efficiency in ozone disinfectionCited by: 9
Author(s): Syun suke Kadoya, Osamu Nishimura, Hiroyuki Kato, Daisuke Sano
Software Mentions: 2
Published: over 5 years ago
10.12688/wellcomeopenres.15201.3
Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learningCited by: 26
Author(s): Mario González‐Jiménez, Simon A. Babayan, Pegah Khazaeli, Margaret Doyle, Finlay Walton, Elliott Reedy, Thomas Glew, Mafalda Viana, Lisa Ranford-Cartwright, Abdoulaye Niang, Doreen J. Siria, Fredros O. Okumu, Abdoulaye Diabaté, Heather M. Ferguson, Francesco Baldini, Klaas Wynne
Software Mentions: 2
Published: almost 7 years ago
10.12688/wellcomeopenres.15617.3
Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family StudyCited by: 3
Author(s): Laura de Nooij, Mathew A. Harris, Emma L. Hawkins, Toni‐Kim Clarke, Xueyi Shen, Stella W. Y. Chan, Tim Ziermans, Andrew M. McIntosh, Heather C. Whalley
Software Mentions: 2
Published: almost 6 years ago
10.12688/wellcomeopenres.16718.1
An automated approach to identify scientific publications reporting pharmacokinetic parametersCited by: 6
Author(s): Ferran Gonzalez Hernandez, Simon J. Carter, Juha Iso-Sipilä, Paul C. Goldsmith, Ahmed Almousa, Silke Gastine, Watjana Lilaonitkul, Frank Kloprogge, Joseph F. Standing
Software Mentions: 2
Published: over 5 years ago
10.1016/j.patter.2020.100087
Cellular State Transformations Using Deep Learning for Precision Medicine ApplicationsCited by: 7
Author(s): Colin Targonski, M. Reed Bender, Benjamin T. Shealy, Benafsh Husain, Bill Paseman, Melinda Smith, F. Alex Feltus
Software Mentions: 2
Published: about 6 years ago
10.7717/peerj.488
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learningCited by: 198
Author(s): Dan Stowell, Mark D. Plumbley
Software Mentions: 2
Published: about 12 years ago
10.7717/peerj.11790
Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar dataCited by: 8
Author(s): Victoria Scholl, Joe McGlinchy, Teo Price-Broncucia, Jennifer K. Balch, Maxwell B. Joseph
Software Mentions: 2
Published: about 5 years ago
10.7717/peerj.10555
Macrel: antimicrobial peptide screening in genomes and metagenomesCited by: 26
Author(s): Célio Dias Santos Júnior, Shaojun Pan, Xing‐Ming Zhao, Luís Pedro Coelho
Software Mentions: 2
Published: over 5 years ago
10.7717/peerj.10317
Machine learning prediction of motor response after deep brain stimulation in Parkinson’s disease—proof of principle in a retrospective cohortCited by: 17
Author(s): Jeroen Habets, Mark Janssen, Annelien Duits, Laura C.J. Sijben, Anne E.P. Mulders, B. de Greef, Yasin Temel, Mark L. Kuijf, Pieter L. Kubben, Christian Herff
Software Mentions: 2
Published: almost 6 years ago
10.7717/peerj.9562
Prediction of human fetal–maternal blood concentration ratio of chemicalsCited by: 5
Author(s): Chia-Chi Wang, Pei Lin, Che Yu Chou, Shan Shan Wang, Chun Wei Tung
Software Mentions: 2
Published: about 6 years ago
10.7717/peerj-cs.270
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression dataCited by: 44
Author(s): Reinel Tabares-Soto, Simón Orozco-Arias, Víctor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez Varón
Software Mentions: 2
Published: over 6 years ago
10.3390/plants9121751
Identification of Cis-Regulatory Sequences Controlling Pollen-Specific Expression of Hydroxyproline-Rich Glycoprotein Genes in Arabidopsis thalianaCited by: 3
Author(s): Yichao Li, Maxwell Mullin, Yingnan Zhang, Frank A. Drews, Lonnie R. Welch, Allan M. Showalter
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pbio.3000611
Combining genomics and epidemiology to track mumps virus transmission in the United StatesCited by: 34
Author(s): Shirlee Wohl, Hayden C. Metsky, Stephen F. Schaffner, Anne Piantadosi, Meagan Burns, Joseph A Lewnard, Bridget Chak, Lydia A. Krasilnikova, Katherine J. Siddle, Christian B. Matranga, Bettina Bankamp, Scott Hennigan, Brandon Sabina, Elizabeth H. Byrne, Rebecca J. McNall, Rickey R. Shah, James Qu, Daniel J. Park, Soheyla D. Gharib, Susan Fitzgerald, Paul Barreira, Stephen B. Fleming, Susan M. Lett, Paul A. Rota, Lawrence C. Madoff, Nathan L. Yozwiak, Bronwyn MacInnis, Sandra Smole, Yonatan H. Grad
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pbio.3000979
A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brainCited by: 61
Author(s): Casey Paquola, Jakob Seidlitz, Oualid Benkarim, Jessica Royer, Petr Klimeš, Richard A. I. Bethlehem, Sara Larivière, Reinder Vos de Wael, Raúl Rodríguez‐Cruces, Jeffery A. Hall, Birgit Frauscher, Jonathan Smallwood, Boris C. Bernhardt
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pcbi.1008857
Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approachCited by: 14
Author(s): Josh L. Espinoza, Chris L. Dupont, Aubrie O’Rourke, Sinem Beyhan, Pavel Morales, Amy L. Spoering, Kirsten J. Meyer, Agnes P. Chan, Yongwook Choi, William C. Nierman, Kim Lewis, Karen E. Nelson
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pcbi.1004590
Identification of High-Impact cis-Regulatory Mutations Using Transcription Factor Specific Random Forest ModelsCited by: 20
Author(s): Dmitry Svetlichnyy, Hana Imrichová, Mark Fiers, Zeynep Kalender Atak, Stein Aerts
Software Mentions: 2
Published: almost 11 years ago
10.1371/journal.pcbi.1008587
Four different mechanisms for switching cell polarityCited by: 4
Author(s): Filipe Tostevin, Manon Wigbers, Lotte Søgaard‐Andersen, Ulrich Gerland
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pcbi.1004451
Quantifying Stochastic Noise in Cultured Circadian Reporter CellsCited by: 16
Author(s): Peter C. St. John, Francis J. Doyle
Software Mentions: 2
Published: almost 11 years ago
10.1371/journal.pcbi.1007992
Brain-optimized extraction of complex sound features that drive continuous auditory perceptionCited by: 12
Author(s): Julia Berezutskaya, Zachary V. Freudenburg, Umut Güçlü, Marcel A. J. van Gerven, Nick Ramsey
Software Mentions: 2
Published: about 6 years ago
10.1371/journal.pcbi.1007828
Predicting cell lineages using autoencoders and optimal transportCited by: 31
Author(s): Karren Yang, Karthik Damodaran, Saradha Venkatachalapathy, Ali C. Soylemezoglu, G. V. Shivashankar, Caroline Uhler
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pcbi.1007608
Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogensCited by: 44
Author(s): Jason C. Hyun, Erol Kavvas, Jonathan M. Monk, Jaehyung Kim
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pcbi.1004838
Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint ProgrammingCited by: 51
Author(s): Stephen Gang Wu, Yu-Xuan Wang, Jiang Wu, Tolutola Oyetunde, Ruilian Yao, Xuehong Zhang, Kazuyuki Shimizu, Yinjie J. Tang, Forrest Sheng Bao
Software Mentions: 2
Published: over 10 years ago
10.1371/journal.pcbi.1007396
Ancestral reconstruction of protein interaction networksCited by: 12
Author(s): Benjamin J. Liebeskind, Richard W. Aldrich, Edward M. Marcotte
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pcbi.1005929
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screeningCited by: 173
Author(s): Zixuan Cang, Lin Mu, Guowei Wei
Software Mentions: 2
Published: over 8 years ago
10.1371/journal.pcbi.1008330
Model-based decoupling of evoked and spontaneous neural activity in calcium imaging dataCited by: 11
Author(s): Marcus A. Triplett, Zac Pujic, Biao Sun, Lilach Avitan, Geoffrey J. Goodhill
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pcbi.1006299
Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing biasCited by: 33
Author(s): Ming Bo Cai, Nicolas W. Schuck, Jonathan W. Pillow, Yaron Niv
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pcbi.1006813
Predicting kinase inhibitors using bioactivity matrix derived informer setsCited by: 9
Author(s): Huikun Zhang, Spencer S. Ericksen, Ching-pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton
Software Mentions: 2
Published: about 7 years ago
10.1371/journal.pcbi.1007318
A lipophilicity-based energy function for membrane-protein modelling and designCited by: 29
Author(s): Jonathan Weinstein, Assaf Elazar, Sarel J. Fleishman
Software Mentions: 2
Published: about 7 years ago
10.1371/journal.pcbi.1007781
PlasClass improves plasmid sequence classificationCited by: 57
Author(s): David Pellow, Itzik Mizrahi, Ron Shamir
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pcbi.1008127
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networksCited by: 3
Author(s): Matthieu Gilson, David Dahmen, Rubén Moreno‐Bote, Andrea Insabato, Moritz Helias
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pcbi.1004456
Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual CategorizationCited by: 18
Author(s): Imri Sofer, Sébastien Crouzet, T. Serre
Software Mentions: 2
Published: about 11 years ago
10.1371/journal.pcbi.1006157
Community-based benchmarking improves spike rate inference from two-photon calcium imaging dataCited by: 110
Author(s): Philipp Berens, Jeremy Freeman, Thomas Deneux, Nikolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H. Macke, Srinivas C. Turaga, Patrick J. Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W. Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D. Harris, Ben Bolte, Timothy A. Machado, Dario L. Ringach, Jasmine Stone, Luke Edward Rogerson, Nicolas J. Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S. Tolias, Matthias Bethge
Software Mentions: 2
Published: over 8 years ago
10.1371/journal.pcbi.1006954
Estimation of the breadth of CD4bs targeting HIV antibodies by molecular modeling and machine learningCited by: 15
Author(s): Simone Conti, Martin Karplus
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pgen.1007341
Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechelliaCited by: 87
Author(s): Daniel R. Schrider, Julien F. Ayroles, Daniel R. Matute, Andrew D. Kern
Software Mentions: 2
Published: over 8 years ago
10.1371/journal.pgen.1007872
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modelingCited by: 197
Author(s): Guy Nir, Irene Farabella, Cynthia Pérez Estrada, Carl G. Ebeling, Brian J. Beliveau, Hiroshi Sasaki, S. Dean Lee, Son C. Nguyen, Ruth B. McCole, Shyamtanu Chattoraj, Jelena Erceg, Jumana AlHaj Abed, Nuno M. C. Martins, Huy Nguyen, Mohammed A. Hannan, Sheikh Russell, Neva C. Durand, Suhas S.P. Rao, Jocelyn Y. Kishi, Paula Soler-Vila, Michele Di Pierro, José N. Onuchic, Steven P. Callahan, John Schreiner, Jeff A. Stuckey, Peng Yin, E Aiden, Marc A. Martí‐Renom, C-ting Wu
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pmed.1002709
Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry studyCited by: 81
Author(s): Shane Nanayakkara, Sam Fogarty, Michael Tremeer, Kelvin Ross, Brent Richards, Christoph Bergmeir, Sheng Xu, Dion Stub, Karen Smith, Mark Tacey, Danny Liew, David Pilcher, David M. Kaye
Software Mentions: 2
Published: almost 8 years ago
10.1371/journal.pntd.0005962
Quantitative multiplexed proteomics of Taenia solium cysts obtained from the skeletal muscle and central nervous system of pigsCited 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: almost 9 years ago
10.1371/journal.pone.0193152
Automatically measuring brain ventricular volume within PACS using artificial intelligenceCited 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 PredictionCited by: 19
Author(s): Michael Schneider, Oliver Brock
Software Mentions: 2
Published: almost 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 MutationCited by: 70
Author(s): Niklas Berliner, Joan Teyra, Recep Çolak, Sebastian Garcia Lopez, Philip M. Kim
Software Mentions: 2
Published: almost 12 years ago
10.1371/journal.pone.0222665
Machine learning discovery of longitudinal patterns of depression and suicidal ideationCited by: 12
Author(s): Jue Gong, Gregory E. Simon, Shan Liu
Software Mentions: 2
Published: almost 7 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 SpeciesCited by: 32
Author(s): Anastasia Niarchou, Αναστασία Αλεξανδρίδου, Emmanouil Athanasiadis, George M. Spyrou
Software Mentions: 2
Published: almost 13 years ago
10.1371/journal.pone.0127659
QuantiFly: Robust Trainable Software for Automated Drosophila Egg CountingCited 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.0204371
LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancerCited 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: almost 8 years ago
10.1371/journal.pone.0228105
Machine learning for syndromic surveillance using veterinary necropsy reportsCited by: 13
Author(s): Nathan Bollig, Lorelei L. Clarke, Elizabeth J. Elsmo, Mark Craven
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0198806
Information spreading by a combination of MEG source estimation and multivariate pattern classificationCited by: 21
Author(s): Masashi Sato, Okito Yamashita, Masa‐aki Sato, Yoichi Miyawaki
Software Mentions: 2
Published: about 8 years ago
10.1371/journal.pone.0245234
Supervised machine learning for automated classification of human Wharton’s Jelly cells and mechanosensory hair cellsCited by: 1
Author(s): Abihith Kothapalli, Hinrich Staecker, Adam J. Mellott
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0234647
FasTag: Automatic text classification of unstructured medical narrativesCited 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: about 6 years ago
10.1371/journal.pone.0253302
Predicting malaria epidemics in Burkina Faso with machine learningCited by: 8
Author(s): David Harvey, Wessel Valkenburg, Amara Amara
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.pone.0223318
Enhancing timeliness of drug overdose mortality surveillance: A machine learning approachCited by: 16
Author(s): Patrick Ward, Peter Rock, Svetla Slavova, April M. Young, Terry Bunn, Ramakanth Kavuluru
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0230599
Understanding biochemical design principles with ensembles of canonical non-linear modelsCited by: 4
Author(s): Lukas Bromig, Andreas Kremling, Alberto Marı́n-Sanguino
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0205097
Novel knowledge-based system with relation detection and textual evidence for question answering researchCited by: 4
Author(s): Haitao Zheng, Zuo-You Fu, Jin‐Yuan Chen, Arun Kumar Sangaiah, Yong Jiang, Cong-Zhi Zhao
Software Mentions: 2
Published: almost 8 years ago
10.1371/journal.pone.0243622
Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searchesCited by: 11
Author(s): David S. Campo, Joseph W. Gussler, Amanda Sue, Pavel Skums, Yury Khudyakov
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0208924
Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk NeuroblastomaCited by: 17
Author(s): Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pone.0170625
Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein DockingCited by: 7
Author(s): Alexander Sasse, Sjoerd J. de Vries, Christina Schindler, Isaure Chauvot de Beauchêne, Martin Zacharias
Software Mentions: 2
Published: over 9 years ago
10.1371/journal.pone.0219683
Genetic algorithms for feature selection when classifying severe chronic disorders of consciousnessCited by: 30
Author(s): Betty Wutzl, Kenji Leibnitz, Frank Rattay, Martin Kronbichler, Masayuki Murata, Stefan Golaszewski
Software Mentions: 2
Published: about 7 years ago
10.1371/journal.pone.0227324
Applications of machine learning in decision analysis for dose management for dofetilideCited 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: over 6 years ago
10.1371/journal.pone.0199839
Predicting acute kidney injury in cancer patients using heterogeneous and irregular dataCited 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: about 8 years ago
10.1371/journal.pone.0227037
Link-centric analysis of variation by demographics in mobile phone communication patternsCited by: 9
Author(s): Mikaela Irene D. Fudolig, Kunal Bhattacharya, Daniel Monsivais, Hang-Hyun Jo, Kimmo Kaski
Software Mentions: 2
Published: over 6 years ago
10.1371/journal.pone.0247980
Association between meteorological factors and the prevalence dynamics of Japanese encephalitisCited by: 13
Author(s): Taotian Tu, Kai Xu, Lei Xu, Yuan Gao, Ying Zhou, Yaming He, Yang Liu, Qiyong Liu, Ji HengQing, Wenge Tang
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0255337
Multi-omics subtyping pipeline for chronic obstructive pulmonary diseaseCited by: 13
Author(s): Lucas A. Gillenwater, Shahab Helmi, Evan Stene, Katherine Pratte, Yonghua Zhuang, Ronald P. Schuyler, Leslie A. Lange, Peter J. Castaldi, Craig P. Hersh, Farnoush Banaei-Kashani, Russell P. Bowler, Katerina Kechris
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.pone.0190549
Integrated genetic and epigenetic prediction of coronary heart disease in the Framingham Heart StudyCited by: 67
Author(s): Meeshanthini V. Dogan, Isabella M. Grumbach, Jacob J. Michaelson, Robert A. Philibert
Software Mentions: 2
Published: over 8 years ago
10.1371/journal.pone.0247784
Personalized prediction of early childhood asthma persistence: A machine learning approachCited by: 18
Author(s): Saurav Bose, Chén C. Kenyon, Aaron J. Masino
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0224460
Factoring a 2 x 2 contingency tableCited by: 5
Author(s): Stanley Luck
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0253760
Predicting aptamer sequences that interact with target proteins using an aptamer-protein interaction classifier and a Monte Carlo tree search approachCited by: 14
Author(s): Gwangho Lee, Gun Hyuk Jang, Ho Young Kang, Giltae Song
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.pone.0214775
tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reportsCited by: 4
Author(s): Margaret Y. Mahan, Daniel Rafter, Hannah Casey, Marta Engelking, Tessneem Abdallah, Charles L. Truwit, Mark Oswood, Uzma Samadani
Software Mentions: 2
Published: about 6 years ago
10.1371/journal.pone.0162173
Integrating Domain Specific Knowledge and Network Analysis to Predict Drug Sensitivity of Cancer Cell LinesCited by: 14
Author(s): Sebo Kim, Varsha Sundaresan, Lei Zhou, Tamer Kahveci
Software Mentions: 2
Published: almost 10 years ago
10.1371/journal.pone.0082710
An Automated Blur Detection Method for Histological Whole Slide ImagingCited by: 29
Author(s): Xavier Moles Lopez, Etienne D'Andrea, Paul Barbot, Anne-Sophie Bridoux, Sandrine Rorive, Isabelle Salmon, Olivier Debeir, Christine Decaestecker
Software Mentions: 2
Published: over 12 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 modelCited 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: about 5 years ago
10.1371/journal.pone.0174719
Structural features embedded in G protein-coupled receptor co-crystal structures are key to their success in virtual screeningCited by: 11
Author(s): Thomas Coudrat, Arthur Christopoulos, Patrick M. Sexton, Denise Wootten
Software Mentions: 2
Published: over 9 years ago
10.1371/journal.pone.0241686
Evaluation of classification and forecasting methods on time series gene expression dataCited by: 3
Author(s): Nafis Irtiza Tripto, M. R. Kabir, Md. Shamsuzzoha Bayzid, Atif Rahman
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pone.0253809
Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare recordsCited by: 8
Author(s): Karyn Ayre, André Bittar, Joyce Kam, Somain Verma, Louise M. Howard, Rina Dutta
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.pone.0242754
Neural representation of words within phrases: Temporal evolution of color-adjectives and object-nouns during simple compositionCited by: 5
Author(s): Maryam Honari-Jahromi, Brea Chouinard, Esti Blanco-Elorrieta, Liina Pylkkänen, Alona Fyshe
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0223137
Classification of neurons in the adult mouse cochlear nucleus: Linear discriminant analysisCited by: 9
Author(s): Paul B. Manis, Michael R. Kasten, Ruili Xie
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0096341
Large Roads Reduce Bat Activity across Multiple SpeciesCited by: 33
Author(s): Justin Kitzes, Adina M. Merenlender
Software Mentions: 2
Published: over 12 years ago
10.1371/journal.pone.0207749
Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signalsCited by: 23
Author(s): Eugene Jeong, Namgi Park, Young Sik Choi, Rae Woong Park, Dukyong Yoon
Software Mentions: 2
Published: almost 8 years ago
10.1371/journal.pone.0241690
Early screening of autism spectrum disorder using cry featuresCited by: 6
Author(s): Aida Khozaei, Hadi Moradi, Reshad Hosseini, Hamidreza Pouretemad, Bahareh Eskandari
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0199379
Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomasCited by: 18
Author(s): Paul Blanc-Durand, Axel Van Der Gucht, Antoine Verger, Karl‐Josef Langen, Vincent Dunet, Jocelyne Bloch, Jean‐Philippe Brouland, Marie Nicod Lalonde, Niklaus Schaefer, John O. Prior
Software Mentions: 2
Published: about 8 years ago
10.1371/journal.pone.0254181
Classification of masked image dataCited by: 1
Author(s): Kamila Lis, Mateusz Koryciński, Konrad A. Ciecierski
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.pone.0244636
Automatic classification of mice vocalizations using Machine Learning techniques and Convolutional Neural NetworksCited by: 14
Author(s): Marika Premoli, Daniele Baggi, Marco Bianchetti, Alessandro Gnutti, Marco Bondaschi, Andrea Mastinu, Pierangelo Migliorati, Alberto Signoroni, Riccardo Leonardi, Maurizio Memo, Sara Anna Bonini
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0242010
Learning from urban form to predict building heightsCited by: 32
Author(s): Nikola Milojevic-Dupont, Nicolai Hans, Lynn H. Kaack, Marius Zumwald, François Andrieux, Daniel de Barros Soares, Steffen Lohrey, Peter-Paul Pichler, Felix Creutzig
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pone.0254720
Evaluating the impact of multivariate imputation by MICE in feature selectionCited by: 22
Author(s): Maritza Mera-Gaona, Ursula Neumann, Rubiel Vargas-Cañas, Diego M. López
Software Mentions: 2
Published: about 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 pathwayCited by: 15
Author(s): Anjali Lathwal, Chakit Arora, Gajendra P. S. Raghava
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0119301
Systematic Artifacts in Support Vector Regression-Based Compound Potency Prediction Revealed by Statistical and Activity Landscape AnalysisCited 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 dataCited 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 complexCited 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 GANCited 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 approachCited 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: about 9 years ago
10.1371/journal.pone.0250952
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scansCited 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 imagesCited 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 phaseCited 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