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
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.3390/ijms20194833
Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction ReliabilityCited by: 12
Author(s): Anke Wilm, Conrad Stork, Christoph Bauer, Andreas Schepky, Jochen Kühnl, Johannes Kirchmair
Software Mentions: 4
Published: about 7 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
10.1186/s13059-017-1290-3
A tandem simulation framework for predicting mapping qualityCited by: 14
Author(s): Ben Langmead
Software Mentions: 4
Published: about 9 years ago
10.3389/fimmu.2020.552596
Toward a Better Understanding of Bioassays for the Development of Biopharmaceuticals by Exploring the Structure-Antibody-Dependent Cellular Cytotoxicity Relationship in Human Primary CellsCited by: 2
Author(s): Sébastien Wieckowski, Cécile Avenal, Arturo V. Orjalo, Daniel Gygax, Florian Cymer
Software Mentions: 4
Published: almost 6 years ago
10.3389/fgene.2018.00682
Embedding of Genes Using Cancer Gene Expression Data: Biological Relevance and Potential Application on Biomarker DiscoveryCited by: 26
Author(s): Chi Tung Choy, Chi Hang Wong, Stephen L. Chan
Software Mentions: 4
Published: almost 8 years ago
10.3389/fgene.2021.648329
Deep Learning Reveals Key Immunosuppression Genes and Distinct Immunotypes in PeriodontitisCited by: 10
Author(s): Wanchen Ning, Aneesha Acharya, Zhenjie Sun, Anthony Chukwunonso Ogbuehi, Cong Liu, Shiting Hua, Qiyun Ou, Muhui Zeng, Xiangqiong Liu, Yupei Deng, Rainer Haak, Dirk Ziebolz, Gerhard Schmalz, George Pelekos, Yan Wang, Xianda Hu
Software Mentions: 4
Published: over 5 years ago
10.7554/eLife.44889
Identification of compounds that rescue otic and myelination defects in the zebrafish adgrg6 (gpr126) mutantCited by: 19
Author(s): Elvira Diamantopoulou, Sarah Baxendale, Antonio de la Vega de León, Anzar Asad, Celia J. Holdsworth, Leïla Abbas, Valerie J. Gillet, Giselle R. Wiggin, Tanya T. Whitfield
Software Mentions: 4
Published: over 7 years ago
10.7554/eLife.62865
Developmental hourglass and heterochronic shifts in fin and limb developmentCited by: 7
Author(s): Koh Onimaru, Kaori Tatsumi, Chiharu Tanegashima, Mitsutaka Kadota, Osamu Nishimura, Shigehiro Kuraku
Software Mentions: 4
Published: over 5 years ago
10.1186/s40168-018-0470-z
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier pluginCited by: 2,605
Author(s): Nicholas A. Bokulich, Benjamin Kaehler, Jai Ram Rideout, Matthew R. Dillon, Evan Bolyen, Rob Knight, Gavin A. Huttley, J. Gregory Caporaso
Software Mentions: 4
Published: over 8 years ago
10.3389/fnhum.2019.00295
Theories and Methods for Labeling Cognitive Workload: Classification and Transfer LearningCited by: 18
Author(s): Ryan McKendrick, Bradley Feest, Amanda E. Harwood, Brian Falcone
Software Mentions: 4
Published: about 7 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
10.1371/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
10.1186/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: over 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
10.7554/eLife.56261
Training deep neural density estimators to identify mechanistic models of neural dynamicsCited by: 99
Author(s): Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, William F Podlaski, Sara A. Haddad, Tim P. Vogels, David S. Greenberg, Jakob H. Macke
Software Mentions: 4
Published: about 6 years ago
10.7554/eLife.40162
Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypesCited by: 8
Author(s): Felix Zhou, Carlos Ruiz‐Puig, Richard Owen, Michael J. White, Jens Rittscher, Xin Lü
Software Mentions: 4
Published: over 7 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: almost 6 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
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
10.1371/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
10.3389/fgene.2020.618478
ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seqCited by: 7
Author(s): Rita Jui-Hsien Lu, Yen-Ting Liu, Chih-Wei Huang, Ming‐Ren Yen, Chung‐Yen Lin, Pao‐Yang Chen
Software Mentions: 4
Published: almost 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
10.1016/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
10.7554/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: almost 8 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
10.7554/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
10.7554/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: about 6 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: about 9 years ago
10.3389/fncom.2018.00056
Modern Machine Learning as a Benchmark for Fitting Neural ResponsesCited by: 52
Author(s): Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad Kording
Software Mentions: 4
Published: over 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
10.3389/fncel.2021.668230
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO MouseCited by: 4
Author(s): Alexandr Pak, Samuel T. Kissinger, Alexander A. Chubykin
Software Mentions: 4
Published: over 5 years ago
10.3389/fncom.2020.580632
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and BrainsCited by: 11
Author(s): Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Zonglei Zhen, Jia Liu
Software Mentions: 4
Published: almost 6 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: over 6 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
10.1186/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
10.3389/fbioe.2020.00959
What Has Been Trending in the Research of Polyhydroxyalkanoates? A Systematic ReviewCited by: 25
Author(s): Maciej Guzik, Tomasz Witko, Alexander Steinbüchel, Magdalena Wojnarowska, Mariusz Sołtysik, Sławomir Wawak
Software Mentions: 4
Published: about 6 years ago
10.3389/fcimb.2021.663068
Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral CarcinogenesisCited by: 7
Author(s): Jiung Wen Chen, Jer Horng Wu, Wei Fan Chiang, Yuh Ling Chen, Wei Wu, Li-Wha Wu
Software Mentions: 4
Published: about 5 years ago
10.2196/19069
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation StudyCited by: 8
Author(s): Xiaorong Zhong, Ting Luo, Ling Deng, Pei Liu, Kejia Hu, Donghao Lü, Dan Zheng, Chunying Luo, Yuxin Xie, Jiayuan Li, Ping He, Tianjie Pu, Feng Ye, Hong Bu, Bo Fu, Hong Zheng
Software Mentions: 4
Published: almost 6 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
10.1107/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
10.1107/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
10.1371/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
10.1155/2021/6668985
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: over 5 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: about 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
10.1186/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
10.1371/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
10.7554/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
10.3390/s19245370
Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production SettingsCited by: 35
Author(s): Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert
Software Mentions: 4
Published: almost 7 years ago
10.3390/s20092594
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep LearningCited by: 21
Author(s): Delaram Jarchi, Javier Andreu-Pérez, Mehrin Kiani, Oldřich Vyšata, Jiří Kuchyňka, Aleš Procházka, Saeid Sanei
Software Mentions: 4
Published: over 6 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: about 5 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
10.3390/s20092504
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar WeedsCited by: 9
Author(s): Marlies Lauwers, Benny De Cauwer, David Nuyttens, Simon Cool, Jan Pieters
Software Mentions: 4
Published: over 6 years ago
10.1093/cercor/bhx138
Attention Selectively Reshapes the Geometry of Distributed Semantic RepresentationCited by: 87
Author(s): Samuel A. Nastase, Andrew C. Connolly, Nikolaas N. Oosterhof, Yaroslav O. Halchenko, J. Swaroop Guntupalli, Matteo Visconti di Oleggio Castello, Jason Gors, M. Ida Gobbini, James V. Haxby
Software Mentions: 4
Published: over 9 years ago
10.1186/s12859-018-2150-1
Identification of residue pairing in interacting β-strands from a predicted residue contact mapCited by: 4
Author(s): Wenzhi Mao, Tong Wang, Wenxuan Zhang, H. Gong
Software Mentions: 4
Published: over 8 years ago
10.3390/cells10092300
Quasar: Easy Machine Learning for BiospectroscopyCited by: 39
Author(s): Marko Toplak, Stuart Read, Christophe Sandt, Ferenc Borondics
Software Mentions: 4
Published: about 5 years ago
10.3390/s20133645
OpCode-Level Function Call Graph Based Android Malware Classification Using Deep LearningCited by: 24
Author(s): Weina Niu, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang, Ting Li
Software Mentions: 4
Published: over 6 years ago
10.1016/j.celrep.2015.12.082
Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic CellsCited by: 157
Author(s): Iain C. Macaulay, Valentine Svensson, Charlotte Labalette, Lauren Ferreira, Fiona Hamey, Thierry Voet, Sarah A. Teichmann, Ana Cvejic
Software Mentions: 4
Published: over 10 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
10.1016/j.cels.2019.11.006
Guiding the Refinement of Biochemical Knowledgebases with Ensembles of Metabolic Networks and Machine LearningCited by: 44
Author(s): Gregory L. Medlock, Jason A. Papin
Software Mentions: 4
Published: almost 7 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
10.3390/s17010066
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity RecognitionCited by: 29
Author(s): Yago Sáez, Alejandro Baldominos, Pedro Isasi
Software Mentions: 4
Published: almost 10 years ago
10.1371/journal.pcbi.1006498
Full-Length Envelope Analyzer (FLEA): A tool for longitudinal analysis of viral ampliconsCited by: 5
Author(s): Kemal Eren, Steven Weaver, Robert Ketteringham, Morné Valentyn, Melissa Smith, Venkatesh Kumar, Sanjay Mohan, Sergei L. Kosakovsky Pond, Ben Murrell
Software Mentions: 4
Published: almost 8 years ago
10.1371/journal.pcbi.1008377
Active probing to highlight approaching transitions to ictal states in coupled neural mass modelsCited by: 2
Author(s): Vinícius Rezende Carvalho, Márcio Flávio Dutra Moraes, Sydney S. Cash, Eduardo M. A. M. Mendes
Software Mentions: 4
Published: over 5 years ago
10.1038/s41598-021-98423-9
Non-invasive diagnostic tool for Parkinson’s disease by sebum RNA profile with machine learningCited by: 11
Author(s): Yuya Uehara, Shinichi Ueno, Haruka Amano-Takeshige, Shuji Suzuki, Yoko Imamichi, Mitsuhisa Fujimaki, Noriyasu Ota, Takatoshi Murase, Tsukasa Inoue, Sachio Saiki, Nobutaka Hattori
Software Mentions: 4
Published: about 5 years ago
10.3390/s20174771
Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor NetworksCited by: 4
Author(s): Hyun-Kyu Lim, Minho Cheong, Sungho Kang
Software Mentions: 4
Published: about 6 years ago
10.1186/s12859-019-2612-0
Barcode identification for single cell genomicsCited by: 15
Author(s): Akshay Tambe, Lior Pachter
Software Mentions: 4
Published: almost 8 years ago
10.1186/s12872-021-02147-7
Integration of transcriptomic data identifies key hallmark genes in hypertrophic cardiomyopathyCited by: 2
Author(s): Jing Xu, Xiangdong Liu, Qiang Dai
Software Mentions: 4
Published: over 5 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
10.3390/cancers13163965
Multicenter DSC–MRI-Based Radiomics Predict IDH Mutation in GliomasCited by: 21
Author(s): Georgios C. Manikis, Georgios Ioannidis, Loizos Siakallis, Katerina Nikiforaki, Cassia Michael, Diana Vozlic, Katarina Surlan-Popović, Max Wintermark, Sotirios Bisdas, Kostas Marias
Software Mentions: 4
Published: about 5 years ago
10.1371/journal.pcbi.1008390
Ten simple rules for writing a paper about scientific softwareCited by: 1
Author(s): Joseph D. Romano, Jason H. Moore
Software Mentions: 4
Published: almost 6 years ago
10.1016/j.chom.2018.06.005
Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut MicrobiomeCited by: 714
Author(s): Pamela Ferretti, Edoardo Pasolli, Adrian Tett, Francesco Asnicar, Valentina Gorfer, Sabina Fedi, Federica Armanini, Duy Tin Truong, Serena Manara, Moreno Zolfo, Francesco Beghini, Roberto Bertorelli, Veronica De Sanctis, Ilaria Bariletti, Rosarita Canto, Rosanna Clementi, Marina Cologna, Tiziana Crifò, Giuseppina Cusumano, Stefania Gottardi, Claudia Innamorati, Caterina Masè, Daniela Postai, Daniela Savoi, Sabrina Duranti, Gabriele Andrea Lugli, Leonardo Mancabelli, Francesca Turroni, Chiara Ferrario, Christian Milani, Marta Mangifesta, Rosaria Anzalone, Alice Viappiani, Moran Yassour, Hera Vlamakis, Ramnik J. Xavier, María Carmen Collado, Omry Koren, Saverio Tateo, Massimo Soffiati, Anna Pedrotti, Marco Ventura, Curtis Huttenhower, Peer Bork, Nicola Segata
Software Mentions: 4
Published: over 8 years ago
10.1371/journal.pcbi.1008244
Alcoholic liver disease: A registry view on comorbidities and disease predictionCited by: 10
Author(s): Dhouha Grissa, Ditlev Nytoft Rasmussen, Aleksander Krag, Søren Brunak, Lars Juhl Jensen
Software Mentions: 4
Published: about 6 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
10.3389/fgene.2019.01182
Graph Embedding Deep Learning Guides Microbial Biomarkers' IdentificationCited by: 19
Author(s): Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
Software Mentions: 4
Published: almost 7 years ago
10.3390/biom11040549
Conformational Plasticity-Rigidity Axis of the Coagulation Factor VII Zymogen Elucidated by Atomistic Simulations of the N-Terminally Truncated Factor VIIa Protease DomainCited by: 6
Author(s): Jesper J. Madsen, Ole H. Olsen
Software Mentions: 4
Published: over 5 years ago
10.3390/biom10040524
Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung CancerCited by: 30
Author(s): Ken Asada, Kazuma Kobayashi, Samuel Joutard, Masashi Tubaki, Satoshi Takahashi, Ken Takasawa, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto
Software Mentions: 4
Published: over 6 years ago
10.1371/journal.pcbi.1009183
COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severityCited by: 5
Author(s): В. А. Наумов, Evgeny Putin, Stefan Pushkov, E. Kozlova, Konstantin Romantsov, Alexander Kalashnikov, Fedor Galkin, Nina Tihonova, Anastasia Shneyderman, Egor Galkin, Arsenii Zinkevich, Stephanie M. Cope, Ramanathan Sethuraman, Tudor I. Oprea, Alexander T. Pearson, Savaş Tay, Nishant Agrawal, Alexey Dubovenko, Quentin Vanhaelen, Ivan V. Ozerov, Alex Aliper, Evgeny Izumchenko, Alex Zhavoronkov
Software Mentions: 4
Published: over 5 years ago
10.1016/j.celrep.2019.08.077
Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component AnalysisCited by: 129
Author(s): Damien Arnol, Denis Schapiro, Bernd Bodenmiller, Julio Sáez-Rodríguez, Oliver Stegle
Software Mentions: 4
Published: about 7 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
10.7554/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
10.1371/journal.pcbi.1008689
Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalographyCited by: 27
Author(s): Viktor Sip, Meysam Hashemi, Anirudh Nihalani Vattikonda, Michael Woodman, Huifang Wang, Julia Scholly, Samuel Médina Villalon, Maxime Guye, Fabricē Bartolomei, Viktor K. Jirsa
Software Mentions: 4
Published: over 5 years ago
10.3390/cancers13153768
Machine Learning Approaches to Classify Primary and Metastatic Cancers Using Tissue of Origin-Based DNA Methylation ProfilesCited by: 12
Author(s): Vijayachitra Modhukur, Shakshi Sharma, Mainak Mondal, Ankita Lawarde, Keiu Kask, Rajesh Sharma, Andres Salumets
Software Mentions: 4
Published: about 5 years ago
10.3390/cancers13102366
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer GenomesCited by: 6
Author(s): Shayantan Banerjee, Karthik Raman, Balaraman Ravindran
Software Mentions: 4
Published: over 5 years ago
10.1186/s12859-021-04278-2
Single-cell classification using graph convolutional networksCited by: 19
Author(s): Tianyu Wang, Junqiang Bai, Sheida Nabavi
Software Mentions: 4
Published: over 5 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
10.1038/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: about 6 years ago
10.1371/journal.pbio.3001306
Dynamic landscape of protein occupancy across the Escherichia coli chromosomeCited by: 18
Author(s): Peter L. Freddolino, Haley M. Amemiya, Thomas J. Goss, Saeed Tavazoie
Software Mentions: 4
Published: over 5 years ago
10.1186/s12938-020-00795-y
Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learningCited by: 6
Author(s): Masaya Kisohara, Yoshio Masuda, Emi Yuda, Naonori Ueda, Junichiro Hayano
Software Mentions: 4
Published: over 6 years ago
10.1186/s12859-021-04070-2
Large-scale labeling and assessment of sex bias in publicly available expression dataCited by: 10
Author(s): Emily Flynn, Annie C. Y. Chang, Russ B. Altman
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0249583
Innovation indicators based on firm websites—Which website characteristics predict firm-level innovation activity?Cited by: 8
Author(s): Janna Axenbeck, Patrick Breithaupt
Software Mentions: 4
Published: over 5 years ago
10.1038/s41598-021-84003-4
Combined unsupervised-supervised machine learning for phenotyping complex diseases with its application to obstructive sleep apneaCited by: 12
Author(s): Eun Yeol, Jeong Whun Kim, Young-Min Lee, Sung Woo Cho, Heeyoung Kim, Jae Kyoung Kim
Software Mentions: 4
Published: over 5 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
10.1186/s13062-018-0211-z
Profiling microbial strains in urban environments using metagenomic sequencing dataCited by: 26
Author(s): Moreno Zolfo, Francesco Asnicar, Paolo Manghi, Edoardo Pasolli, Adrian Tett, Nicola Segata
Software Mentions: 4
Published: almost 9 years ago