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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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
Penalties:
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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 syndromeCited 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 TutorialCited 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 GermanyCited 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 candidatesCited 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 StreptococcusCited 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 DNACited 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 PseAACCited 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 learningCited 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 conversationCited 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 dataCited 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 GameCited 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 factorizationCited 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 attentionCited 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 baumanniiCited 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 proteinsCited 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 genesCited 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 FungiCited 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 AblationCited 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 dataCited 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 AlkaloidsCited 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 capacityCited 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 FoodsCited 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 ProfilingCited 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 librariesCited 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 analysesCited 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 recordsCited 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 activationCited 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 SubclassesCited 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 analysisCited 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 GlioblastomaCited 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 pixelsCited 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 FeaturesCited 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 StudyCited 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 associationsCited 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 StudyCited 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 dataCited 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 ProcessCited 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 representationsCited 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 miceCited 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 DevelopmentCited 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-19Cited 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 literatureCited 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 scatteringCited 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 diseaseCited 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 statisticsCited 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 FactorsCited 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 eIF2αCited 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 predictionCited 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 featuresCited 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 disorderCited 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 RegressionCited 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 LearningCited 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 analysisCited 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 FeaturesCited 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 cancerCited 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 WellsCited 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 AlgorithmsCited 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 DetectionCited 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 SensorsCited 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 studyCited 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 studyCited 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 sequencesCited 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 conditionsCited 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 StreamingCited 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 DataCited 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 linesCited 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 dataCited 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 recurrenceCited 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 networksCited 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 childrenCited 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 genomesCited 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 ThresholdsCited 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 learningCited 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 ReceptorsCited 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 resistanceCited 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 analysisCited 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 abilityCited 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 metabolitesCited 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 MechanismCited 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 biomedicineCited 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 seabirdsCited 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 expressionCited 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 metastasisCited 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 CattleCited 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 inpaintingCited 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 modelCited 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 proteomicsCited 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 carcinomaCited 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 analysisCited 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 atlasCited 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. elegansCited 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 predictionCited 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 essentialityCited 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 learningCited 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 discoideumCited 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 bioinformaticsCited 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 cancerCited 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 LearningCited 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 discoveryCited 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 mechanismsCited 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