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
Educational commit emails
142 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution -
+6
Science terms in README
3 scientific terms found in README
Penalties:
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
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: 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: over 6 years ago
10.1186/s12859-019-2680-1
Probabilistic ancestry maps: a method to assess and visualize population substructures in geneticsCited by: 19
Author(s): Héléna A. Gaspar, Gerome Breen
Software Mentions: 4
Published: over 7 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: 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: over 5 years ago
10.1186/1752-0509-7-S6-S16
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif dataCited by: 14
Author(s): Agnieszka Podsiadło, Mariusz Wrzesień, Wiesław Paja, Witold R. Rudnicki, Bartek Wilczyński
Software Mentions: 4
Published: over 12 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: almost 7 years ago
10.34133/2020/5839856
“Macrobot”: An Automated Segmentation-Based System for Powdery Mildew Disease QuantificationCited by: 15
Author(s): Stefanie Lück, Marc Strickert, Maximilian Lorbeer, Friedrich Melchert, Andreas Backhaus, David Kilias, Udo Seiffert, Dimitar Douchkov
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: about 5 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: about 8 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
10.1371/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.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
10.1186/s12870-021-03070-x
Natural variation in wild tomato trichomes; selecting metabolites that contribute to insect resistance using a random forest approachCited by: 13
Author(s): Ruy Kortbeek, Marc Galland, Aleksandra Muras, Frans van der Kloet, Bart André, Maurice Heilijgers, Sacha A. F. T. van Hijum, Michel A. Haring, Robert C. Schuurink, Petra Bleeker
Software Mentions: 4
Published: about 5 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: almost 5 years ago
10.1186/s12870-014-0276-5
Populus tremula (European aspen) shows no evidence of sexual dimorphismCited by: 46
Author(s): Kathryn M. Robinson, Nicolas Delhomme, Niklas Mähler, Bastian Schiffthaler, Jenny Önskog, Benedicte Riber Albrectsen, Pär K. Ingvarsson, Torgeir R. Hvidsten, Stefan Jansson, Nathaniel R. Street
Software Mentions: 4
Published: almost 12 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.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
10.3389/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
10.1093/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
10.1186/s13059-021-02485-x
Mapping the evolving landscape of super-enhancers during cell differentiationCited by: 16
Author(s): Yan Kai, Bin E. Li, Min Zhu, Grace Y Li, Fei Chen, Yingli Han, Hye Young Ji, Stuart H. Orkin, Wenqing Cai, Jialiang Huang, Guo‐Cheng Yuan
Software Mentions: 4
Published: almost 5 years ago
10.3390/healthcare8020120
Integrated Natural Language Processing and Machine Learning Models for Standardizing Radiotherapy Structure NamesCited by: 14
Author(s): Khajamoinuddin Syed, William C. Sleeman, Kevin Ivey, Michael P. Hagan, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh
Software Mentions: 4
Published: over 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: about 8 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/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: almost 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
10.1107/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
10.1038/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
10.1186/s13073-021-00835-9
CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scoresCited by: 294
Author(s): Philipp Rentzsch, Max Schubach, Jay Shendure, Martin Kircher
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: about 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
10.1371/journal.pone.0228422
Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithmsCited by: 42
Author(s): Md. Raihan-Al-Masud, M. Rubaiyat Hossain Mondal
Software Mentions: 4
Published: over 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: almost 5 years ago
10.1371/journal.pone.0224521
On the development of sleep states in the first weeks of lifeCited by: 13
Author(s): Tomasz Wielek, Renata Del Giudice, Adelheid Lang, Małgorzata Wisłowska, Peter Ott, Manuel Schabus
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
10.1016/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: over 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: almost 10 years ago
10.1371/journal.pone.0243915
On transformative adaptive activation functions in neural networks for gene expression inferenceCited by: 5
Author(s): Vladimír Kunc, Jǐŕı Kléma
Software Mentions: 4
Published: over 5 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
10.1093/gigascience/giab046
NPSV: A simulation-driven approach to genotyping structural variants in whole-genome sequencing dataCited by: 4
Author(s): Michael D. Linderman, Crystal Paudyal, Musab Shakeel, William L. Kelley, Ali Kashif Bashir, Bruce D. Gelb
Software Mentions: 4
Published: about 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: almost 7 years ago
10.1093/gigascience/giy032
A practical tool for maximal information coefficient analysisCited by: 53
Author(s): Davide Albanese, Samantha Riccadonna, Claudio Donati, Pietro Franceschi
Software Mentions: 4
Published: over 8 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
10.7554/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: almost 6 years ago
10.1186/s13059-020-02138-5
Ultrasensitive deletion detection links mitochondrial DNA replication, disease, and agingCited by: 40
Author(s): Scott A. Lujan, Matthew J. Longley, Margaret H. Humble, Christopher A. Lavender, Adam Burkholder, Emma L. Blakely, Charlotte L. Alston, Gráinne Gorman, D.M. Turnbull, Robert McFarland, Robert W. Taylor, Thomas A. Kunkel, William C. Copeland
Software Mentions: 4
Published: almost 6 years ago
10.1186/s13059-020-02021-3
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representationsCited by: 40
Author(s): Gregory P. Way, Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene
Software Mentions: 4
Published: over 6 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/s13059-020-01983-8
High-resolution Repli-Seq defines the temporal choreography of initiation, elongation and termination of replication in mammalian cellsCited by: 73
Author(s): Peiyao A. Zhao, Takayo Sasaki, David M. Gilbert
Software Mentions: 4
Published: over 6 years ago
10.1093/gigascience/gix107
HOMINID: a framework for identifying associations between host genetic variation and microbiome compositionCited by: 8
Author(s): Joshua Lynch, Karen Tang, Sambhawa Priya, Joanna Sands, Margaret Sands, Evan Tang, Sayan Mukherjee, Dan Knights, Ran Blekhman
Software Mentions: 4
Published: almost 9 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: almost 5 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
10.7554/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
10.7554/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
10.1038/s41598-021-83922-6
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differencesCited by: 47
Author(s): Anna Paola Carrieri, Niina Haiminen, Sean Maudsley-Barton, Laura‐Jayne Gardiner, Barry Murphy, Andrew E. Mayes, Sarah Paterson, Sally Grimshaw, Martyn Winn, Cameron Shand, Panagiotis E. Hadjidoukas, Will Rowe, Stacy S. Hawkins, Ashley MacGuire-Flanagan, Jane Tazzioli, John Kenny, Laxmi Parida, Michael Hoptroff, Edward O. Pyzer‐Knapp
Software Mentions: 4
Published: over 5 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/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
10.3390/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
10.1038/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
10.3390/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
10.3390/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
10.2196/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
10.3389/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: almost 6 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/s41598-020-64270-3
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
10.3390/cells10092300
Quasar: Easy Machine Learning for BiospectroscopyCited by: 39
Author(s): Marko Toplak, Stuart Read, Christophe Sandt, Ferenc Borondics
Software Mentions: 4
Published: almost 5 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: about 9 years ago
10.1371/journal.pone.0246165
Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesiaCited by: 10
Author(s): John H. Abel, Marcus A. Badgeley, Benyamin Meschede-Krasa, Gabriel Schamberg, Indie C. Garwood, Kimaya Lecamwasam, S. Chakravarty, David Zhou, Matthew Keating, Patrick L. Purdon, Emery N. Brown
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0184661
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sitesCited by: 508
Author(s): Oscar Estéban, Daniel Birman, Marie Schaer, Oluwasanmi Koyejo, Russell A. Poldrack, Krzysztof J. Gorgolewski
Software Mentions: 4
Published: almost 9 years ago
10.1371/journal.pone.0216453
Aerodigestive sampling reveals altered microbial exchange between lung, oropharyngeal, and gastric microbiomes in children with impaired swallow functionCited by: 12
Author(s): Claire Duvallet, Kara Larson, Scott B. Snapper, Sonia Iosim, Ann Lee, Katherine Freer, Kara May, Eric J. Alm, Rachel Rosen
Software Mentions: 4
Published: over 7 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
10.1038/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: 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
10.3390/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: almost 5 years ago
10.3390/genes9090424
Human Age Prediction Based on DNA Methylation Using a Gradient Boosting RegressorCited by: 41
Author(s): Xingyan Li, Weidong Li, Yan Xu
Software Mentions: 3
Published: almost 8 years ago
10.1038/s41598-020-61180-2
Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousnessCited by: 50
Author(s): Bertrand Hermann, Federico Raimondo, Lukas Hirsch, Yu Huang, Mélanie Denis-Valente, Pauline Pérez, Denis A. Engemann, Frédéric Faugeras, Nicolas Weiss, Sophie Demeret, Benjamin Rohaut, Lucas C. Parra, Jacobo Sitt, Lionel Naccache
Software Mentions: 3
Published: over 6 years ago
10.1371/journal.pone.0250278
Molecular subtyping of Alzheimer’s disease with consensus non-negative matrix factorizationCited by: 14
Author(s): Chunlei Zheng, Rong Xu
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-020-70583-0
Detecting ulcerative colitis from colon samples using efficient feature selection and machine learningCited by: 25
Author(s): Hanieh Marvi Khorasani, Hamid Usefi, Lourdes Peña‐Castillo
Software Mentions: 3
Published: about 6 years ago
10.1038/s41598-020-69443-8
AutoRELACS: automated generation and analysis of ultra-parallel ChIP-seqCited by: 0
Author(s): Laura Arrigoni, F. Ferrari, Juliane Weller, Chiara Bella, Ulrike Bönisch, Thomas Manke
Software Mentions: 3
Published: about 6 years ago
10.3390/genes12020186
VIRMOTIF: A User-Friendly Tool for Viral Sequence AnalysisCited by: 17
Author(s): Pedram Rajaei, Khadijeh Jahanian, Amin Beheshti, Shahab S. Band, Abdollah Dehzangi, Hamid Alinejad‐Rokny
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-020-62997-7
Dynamic spherical harmonics approach for shape classification of migrating cellsCited by: 29
Author(s): Anna Medyukhina, Marco Blickensdorf, Zoltán Cseresnyés, Nora Ruef, Jens V Stein, Marc Thilo Figge
Software Mentions: 3
Published: over 6 years ago
10.1371/journal.pone.0093344
Mapping Topographic Structure in White Matter Pathways with Level Set TreesCited by: 5
Author(s): Brian P. Kent, Alessandro Rinaldo, Fang‐Cheng Yeh, Timothy Verstynen
Software Mentions: 3
Published: over 12 years ago
10.1186/s13059-016-1012-2
Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPORCited by: 1,224
Author(s): Maximilian Haeussler, Kai Shi, Hélène Eckert, Alexis Eschstruth, Joffrey Mianné, Jean Renaud, Sylvie Schneider‐Maunoury, Alena Shkumatava, Lydia Teboul, J. H. Kent, Jean‐Stéphane Joly, Jean‐Paul Concordet
Software Mentions: 3
Published: about 10 years ago
10.1186/s13059-017-1186-2
Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatmentCited by: 232
Author(s): Tina Wang, Brian Tsui, Jason F. Kreisberg, Neil Robertson, Andrew M. Gross, Michael Yu, Hannah Carter, Holly M. Brown–Borg, Peter D. Adams, Trey Ideker
Software Mentions: 3
Published: over 9 years ago
10.1186/s13059-020-02019-x
A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talkCited by: 31
Author(s): Andrew J. Gentles, Angela Bik‐Yu Hui, Weiguo Feng, Armon Azizi, Ramesh V. Nair, Gina Bouchard, David A. Knowles, Alice L. Yu, Youngtae Jeong, Alborz Bejnood, Erna Forgó, Sushama Varma, Yue Xu, Amanda Kuong, Viswam S. Nair, Robert B. West, Matt van de Rijn, Chuong D. Hoang, Maximilian Diehn, Sylvia K. Plevritis
Software Mentions: 3
Published: over 6 years ago
10.1038/s41598-020-64643-8
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal dataCited by: 45
Author(s): Paweł Widera, Paco M J Welsing, Christoph Ladel, John Loughlin, F.P. Lafeber, Florence Petit Dop, J. Larkin, Harrie Weinans, Ali Mobasheri, Jaume Bacardit
Software Mentions: 3
Published: over 6 years ago
10.1371/journal.pone.0239781
A theoretical morphological model for quantitative description of the three-dimensional floral morphology in water lily (Nymphaea)Cited by: 1
Author(s): Shiryu Kirié, Hideo Iwasaki, Koji Noshita, Hiroyoshi Iwata
Software Mentions: 3
Published: almost 6 years ago
10.3390/cancers13020339
Radiomics and Dosiomics for Predicting Local Control after Carbon-Ion Radiotherapy in Skull-Base ChordomaCited by: 20
Author(s): Giulia Buizza, Chiara Paganelli, E. D’Ippolito, Giulia Fontana, Silvia Molinelli, Lorenzo Preda, Giulia Riva, Alberto Iannalfi, Francesca Valvo, Ester Orlandi, Guido Baroni
Software Mentions: 3
Published: over 5 years ago
10.3390/cancers13061294
An AI-Powered Blood Test to Detect Cancer Using NanoDSFCited by: 7
Author(s): Philipp O. Tsvetkov, Rémi Eyraud, Stéphane Ayache, Anton Bougaev, Soazig Malesinski, Hamed Benazha, Svetlana Gorokhova, Christophe Buffat, Caroline Dehais, Marc Sanson, Franck Bielle, Dominique Figarella Branger, Olivier Chinot, Émeline Tabouret, François Devred
Software Mentions: 3
Published: over 5 years ago
10.3390/cancers12061593
Sex-Specific Differences in Primary CNS LymphomaCited by: 2
Author(s): Thomas Roetzer, Julia Furtner, Johanna Gesperger, Lukas Seebrecht, Dave Bandke, Martina Brada, Tanisa Brandner-Kokalj, Astrid Grams, Johannes Haybaeck, Melitta Kitzwoegerer, Stefan Leber, Franz Marhold, Patrizia Moser, Camillo Sherif, Johannes Trenkler, Julia Judith Unterluggauer, Serge Weis, Franz Wuertz, Johannes A. Hainfellner, Georg Langs, Karl-Heinz Nenning, Adelheid Wöehrer
Software Mentions: 3
Published: about 6 years ago
10.1371/journal.pone.0204938
“Is a picture really worth a thousand words?”: A case study on classifying user attributes on InstagramCited by: 21
Author(s): Junho Song, Kyungsik Han, Dongwon Lee, Sang Wook Kim
Software Mentions: 3
Published: almost 8 years ago
10.1371/journal.pone.0174698
A general approach for predicting the behavior of the Supreme Court of the United StatesCited by: 194
Author(s): Daniel Katz, Michael James Bommarito, Josh Blackman
Software Mentions: 3
Published: over 9 years ago
10.3390/cancers13061192
Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung TissueCited by: 38
Author(s): Motohiro Nishio, Masaki Nishio, Naoe Jimbo, Kazuaki Nakane
Software Mentions: 3
Published: over 5 years ago
10.3390/ijerph17051510
Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter’s Users: An Exploratory Content- and Topology-Based AnalysisCited by: 11
Author(s): Cristina Crocamo, Marco Viviani, Francesco Bartoli, Giuseppe Carrà, Gabriella Pasi
Software Mentions: 3
Published: over 6 years ago
10.3390/cancers13081796
Multi-View Data Integration Methods for Radiotherapy Structure Name StandardizationCited by: 4
Author(s): Khajamoinuddin Syed, William C. Sleeman, Michael P. Hagan, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh
Software Mentions: 3
Published: over 5 years ago
10.7554/eLife.54055
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkersCited by: 60
Author(s): Denis A. Engemann, Oleh Kozynets, David Sabbagh, G Lemaître, Gaël Varoquaux, Franziskus Liem, Alexandre Gramfort
Software Mentions: 3
Published: over 6 years ago
10.1186/s13059-018-1599-6
Predicting age from the transcriptome of human dermal fibroblastsCited by: 126
Author(s): Jason G. Fleischer, Roberta Schulte, Hsiao Tsai, Swati Tyagi, Arkaitz Ibarra, Maxim N. Shokhirev, Ling Huang, Martin W. Hetzer, Saket Navlakha
Software Mentions: 3
Published: over 7 years ago
10.1007/s11695-021-05277-1
Predictors of Postprandial Hypoglycemia After Gastric Bypass Surgery: a Retrospective Case-Control StudyCited by: 3
Author(s): Elric Zweck, Matthias Hepprich, Marc Y. Donath
Software Mentions: 3
Published: over 5 years ago
10.7554/eLife.56890
Diverse homeostatic and immunomodulatory roles of immune cells in the developing mouse lung at single cell resolutionCited by: 27
Author(s): Racquel Domingo-Gonzalez, Fabio Zanini, Xibing Che, Min Liu, Robert C. Jones, Michael Swift, Stephen R. Quake, David N. Cornfield, Cristina M. Alvira
Software Mentions: 3
Published: about 6 years ago
10.1371/journal.pone.0250753
Automated analysis of bacterial flow cytometry data with FlowGateNISTCited by: 7
Author(s): David Ross
Software Mentions: 3
Published: about 5 years ago