Projects: pypi: scikit-learn
https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn
A set of python modules for machine learning and data mining
72 versions
Latest release: about 2 years ago
5,918 dependent packages
43,777,417 downloads last month
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Educational Contributors:
a.joly@ulg.ac.be
vanderplas@astro.washington.edu
bh00038@cvplws63.eps.surrey.ac.uk
ha258@cornell.edu
satra@mit.edu
zl2480@columbia.edu
pinto@alum.mit.edu
jz4721@nyu.edu
matteo.visconti.gr@dartmouth.edu
vighneshbirodkar@nyu.edu
robert.l.marchman@dartmouth.edu
rs2715@stern.nyu.edu
claire.savard@colorado.edu
aaaagrawal@iitb.ac.in
ihaque@cs.stanford.edu
rspeer@mit.edu
mluessi@nmr.mgh.harvard.edu
amitibo@tx.technion.ac.il
ericchang2017@u.northwestern.edu
jkarno@seas.upenn.edu
minghui.liu@trincoll.edu
m.lyra@sussex.ac.uk
andrew.knyazev@ucdenver.edu
lamb@cs.stanford.edu
camilo@neurostat.mit.edu
martino.sorbaro@ed.ac.uk
t.sheerman-chase@surrey.ac.uk
cgohlke@uci.edu
batulaa@drexel.edu
kcarnold@alum.mit.edu
apw@seas.harvard.edu
abie@alum.mit.edu
rossbar@berkeley.edu
alceballosa@unal.edu.co
fhoang7@berkeley.edu
hechen@seas.upenn.edu
stefan@sun.ac.za
deepyaman.datta@utexas.edu
rebekah.kim@columbia.edu
shubham.bhardwaj2015@vit.ac.in
slama@berkeley.edu
nisingh@wharton.upenn.edu
kanikas3@vt.edu
jdlabal@stanford.edu
kjells@uw.edu
markus.loning.17@ucl.ac.uk
k_nzw@klis.tsukuba.ac.jp
dkirkby@uci.edu
balawson@bu.edu
c.brummitt@columbia.edu
choo8@illinois.edu
giorgio.patrini@anu.edu.au
shangwuy@andrew.cmu.edu
rafael.possas@sydney.edu.au
olsonran@msu.edu
brian.mcfee@nyu.edu
naj273@nyu.edu
dgrusak@trinity.edu
emd222@cornell.edu
voth0@sewanee.edu
trishnendu.dd2014@cs.iiests.ac.in
apeng@berkeley.edu
boucher@cs.umass.edu
lunt@ctbp.ucsd.edu
bakhbari@mgh.harvard.edu
piraka@brandeis.edu
neal.lathia@cl.cam.ac.uk
razhoshia@post.bgu.ac.il
michal.romaniuk06@ic.ac.uk
m.batchkarov@sussex.ac.uk
lemin@cs.colostate.edu
rudvlf0413@korea.ac.kr
vredev16@msu.edu
raschkas@msu.edu
ali.baharev@univie.ac.at
a.krasoulis@sms.ed.ac.uk
arokem@berkeley.edu
gabrielvr@al.insper.edu.br
eric.sanchez1234@email.bakersfieldcollege.edu
fcchou@stanford.edu
rofuyu@cs.utexas.edu
glemaitre@visor.udg.edu
naoyaiijima@hiroshima-u.ac.jp
ayushgup@iitk.ac.in
joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au
jam7w2@mail.missouri.edu
j.hale09@imperial.ac.uk
tw991@nyu.edu
patel_zeel@iitgn.ac.in
vincent.lostanlen@nyu.edu
stvjc@channing.harvard.edu
ritchieng@u.nus.edu
bansalsi@usc.edu
rbarnes@umn.edu
rrohan@cs.cmu.edu
liutong.zhou@columbia.edu
mdh386@nyu.edu
mlf419@nyu.edu
shreyave@usc.edu
jin.siy@northeastern.edu
samuel_ainsworth@brown.edu
cwijes1@lsu.edu
wadawson@ucdavis.edu
xinyuliu@umich.edu
rz258@cornell.edu
daniel.mallia21@myhunter.cuny.edu
argriffi@ncsu.edu
filipj@umich.edu
kms15@case.edu
sam.dixon@berkeley.edu
khong008@e.ntu.edu.sg
jnelso11@gmu.edu
jclawton@umich.edu
jaehyunahn@sogang.ac.kr
ijpulidos@unal.edu.co
gstupp@scripps.edu
justhube@umich.edu
noamkeidar@campus.technion.ac.il
nityamd@nyu.edu
css459@nyu.edu
alyee@ucsd.edu
andersk@mit.edu
dhanus@mit.edu
coreylevinson@uchicago.edu
cailean.carter@quadram.ac.uk
bral4884@colorado.edu
dschult@colgate.edu
dpwe@ee.columbia.edu
dylan.cashman@tufts.edu
pawelsendyk@berkeley.edu
qzhang90@gatech.edu
mhaberla@calpoly.edu
saketk@student.unimelb.edu.au
eunjikim@dm.snu.ac.kr
erinrhof@uw.edu
ksivaman@purdue.edu
garmstrong@ucsd.edu
konstantin.shmelkov@polytechnique.edu
e175774@ie.u-ryukyu.ac.jp
hermidal@cs.umd.edu
jbearer@hmc.edu
jmarin@csail.mit.edu
Repository Activity:
Repository Owner:
scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
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+2840
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
10.1128/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 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: almost 12 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: almost 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 4 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 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 4 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: about 7 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 4 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 5 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 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: over 4 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 6 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: about 11 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: about 7 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 4 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 4 years ago
10.1021/acs.jctc.1c00159
Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data setsCited by: 18
Author(s): Alexander van Teijlingen, Tell Tuttle
Software Mentions: 4
Published: over 4 years ago
10.3389/fonc.2020.00418
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT ScanCited by: 36
Author(s): Xianwu Xia, Jing Gong, Hao Wen, Ting Yang, Yeqing Lin, Shengping Wang, Weijun Peng
Software Mentions: 4
Published: over 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: 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 4 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: almost 6 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: over 4 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: almost 5 years ago
10.1186/s13321-021-00513-3
Deep learning integration of molecular and interactome data for protein–compound interaction predictionCited by: 4
Author(s): Narumi Watanabe, Yuuto Ohnuki, Yasubumi Sakakibara
Software Mentions: 4
Published: over 4 years ago
10.1186/s13321-018-0313-8
Chemlistem: chemical named entity recognition using recurrent neural networksCited by: 27
Author(s): Peter Corbett, John P. Boyle
Software Mentions: 4
Published: almost 7 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: about 8 years ago
10.1109/tbdata.2020.3035935
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical LiteratureCited by: 47
Author(s): Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
Software Mentions: 4
Published: over 4 years ago
10.3390/insects12020097
Anopheles gambiae Genome Conservation as a Resource for Rational Gene Drive Target Site SelectionCited by: 8
Author(s): Nace Kranjc, Andrea Crisanti, Tony Nolan, Federica Bernardini
Software Mentions: 4
Published: almost 5 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 6 years ago
10.1001/jamanetworkopen.2019.10399
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing MethodsCited by: 5
Author(s): Meliha Skaljic, Ihsaan Patel, Amelia M. Pellegrini, Víctor M. Castro, Roy H. Perlis, Deborah D. Gordon
Software Mentions: 4
Published: about 6 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 4 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 4 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 4 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 8 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 4 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 4 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: over 4 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: over 4 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 4 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 7 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 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: about 5 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: almost 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 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: about 4 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 8 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 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 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: over 4 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 5 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 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 5 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 4 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 5 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 9 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 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 7 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 5 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 5 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 6 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: about 6 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 4 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 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 9 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 9 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 4 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 4 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: over 8 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 4 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 4 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 4 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: about 6 years ago
10.1007/s10278-017-9965-6
Toolkits and Libraries for Deep LearningCited by: 110
Author(s): Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L. Kline, Kenneth A. Philbrick
Software Mentions: 4
Published: over 8 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 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: over 5 years ago
10.1038/s41598-021-95702-3
Geographic source estimation using airborne plant environmental DNA in dustCited by: 10
Author(s): Chelsea Lennartz, Joel Kurucar, Stephen Coppola, Janice Crager, Johanna Bobrow, Laura Bortolin, James C. Comolli
Software Mentions: 3
Published: about 4 years ago
10.1172/jci.insight.145704
Identification of a series of hair-cell MET channel blockers that protect against aminoglycoside-induced ototoxicityCited by: 21
Author(s): Emma J. Kenyon, Nerissa K. Kirkwood, Siân R. Kitcher, Richard J. Goodyear, Marco Derudas, Daire Cantillon, Sarah Baxendale, Antonio de la Vega de León, Virginia N. Mahieu, Richard T. Osgood, Charlotte Donald Wilson, James C. Bull, Simon J. Waddell, Tanya T. Whitfield, Simon E. Ward, Corné J. Kros, Guy P. Richardson
Software Mentions: 3
Published: over 4 years ago
10.1016/j.jbi.2020.103668
Modified Needleman–Wunsch algorithm for clinical pathway clusteringCited by: 10
Author(s): Emma Aspland, Paul Robert Harper, Daniel Gärtner, Philip Webb, Peter Barrett-Lee
Software Mentions: 3
Published: over 4 years ago
10.1017/cts.2020.531
Developing image analysis pipelines of whole-slide images: Pre- and post-processingCited by: 12
Author(s): Byron H. Smith, Meyke Hermsen, Elizabeth R. Lesser, Deepak Ravichandar, Walter K. Kremers
Software Mentions: 3
Published: about 5 years ago
10.1083/jcb.202003052
Stochastic combinations of actin regulatory proteins are sufficient to drive filopodia formationCited by: 15
Author(s): Ulrich Dobramysl, Iris K. Jarsch, Yoshiko Inoue, Hanae Shimo, Benjamin Richier, Jonathan R Gadsby, Julia Mason, Alicja M. Szalapak, Pantelis Savvas Ioannou, Guilherme Pereira Correia, Astrid Walrant, Richard J. Butler, Édouard Hannezo, Benjamin D. Simons, Jennifer L. Gallop
Software Mentions: 3
Published: over 4 years ago
10.3390/s20174773
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis ProductsCited by: 3
Author(s): Xiao‐Wei Chen, Yunjun Yao, Yufu Li, Yuhu Zhang, Kun Jia, Xiaolin Zhang, Ke Shang, Junming Yang, Xiangyi Bei, Xihong Guo
Software Mentions: 3
Published: about 5 years ago
10.1186/s13321-015-0109-z
ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computationCited by: 206
Author(s): Jie Dong, Dong‐Sheng Cao, Hongyu Miao, Lei Shao, Baichuan Deng, Yong‐Huan Yun, Ningning Wang, Aiping Lü, Wenbin Zeng, Alex F. Chen
Software Mentions: 3
Published: almost 10 years ago
10.3389/fonc.2018.00035
Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of XerostomiaCited by: 96
Author(s): Hubert S. Gabryś, Florian Buettner, Florian Sterzing, Henrik Hauswald, Mark Bangert
Software Mentions: 3
Published: over 7 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 4 years ago
10.1001/jamanetworkopen.2019.19396
Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial FibrillationCited by: 66
Author(s): Premanand Tiwari, Kathryn Colborn, Derek E. Smith, Fuyong Xing, Debashis Ghosh, Michael Rosenberg
Software Mentions: 3
Published: almost 6 years ago
10.1371/journal.pone.0183889
Elastic network model of learned maintained contacts to predict protein motionCited by: 13
Author(s): Ines Putz, Oliver Brock
Software Mentions: 3
Published: about 8 years ago
10.1186/s13321-017-0226-y
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity dataCited by: 190
Author(s): Alexios Koutsoukas, Keith J. Monaghan, Xiaoli Li, Jun Huan
Software Mentions: 3
Published: over 8 years ago
10.1038/s41388-020-01614-3
Comprehensive characterisation of intronic mis-splicing mutations in human cancersCited by: 20
Author(s): Hyunchul Jung, Kang Seon Lee, Jung Kyoon Choi
Software Mentions: 3
Published: almost 5 years ago
10.3389/fninf.2013.00012
Toward open sharing of task-based fMRI data: the OpenfMRI projectCited by: 277
Author(s): Russell A. Poldrack, M Deanna, James Mitchell, Tor D. Wager, Anthony D. Wagner, Joseph T. Devlin, Chad Cumba, Oluwasanmi Koyejo, Michael P. Milham
Software Mentions: 3
Published: almost 13 years ago
10.7554/eLife.50469
Temporal chunking as a mechanism for unsupervised learning of task-setsCited by: 14
Author(s): Flora Bouchacourt, Stefano Palminteri, Etienne Koechlin, Srdjan Ostojic
Software Mentions: 3
Published: over 5 years ago
10.3389/fninf.2016.00049
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to NeuroimagingCited by: 54
Author(s): Natalia Y. Bilenko, Jack L. Gallant
Software Mentions: 3
Published: almost 9 years ago
10.1371/journal.pone.0219452
Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structureCited by: 17
Author(s): Petr Popov, Ilya V. Bizin, M. Michael Gromiha, A. Kulandaisamy, Dmitrij Frishman
Software Mentions: 3
Published: over 6 years ago
10.1186/s13321-017-0243-x
eTOX ALLIES: an automated pipeLine for linear interaction energy-based simulationsCited by: 7
Author(s): Luigi Capoferri, Marc van Dijk, Ariën S. Rustenburg, Tsjerk A. Wassenaar, Derk P. Kooi, Eko Aditya Rifai, Nico Vermeulen, Daan P. Geerke
Software Mentions: 3
Published: almost 8 years ago
10.3390/s20102809
Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling MethodsCited by: 152
Author(s): Muhammad Fazal Ijaz, Muhammad Attique, Youngdoo Son
Software Mentions: 3
Published: over 5 years ago
10.3390/s20092451
LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of ThingsCited by: 53
Author(s): Jin Wang, Yangning Tang, Shiming He, Changqing Zhao, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba
Software Mentions: 3
Published: over 5 years ago
10.3389/fphar.2021.660313
AI-Based Drug Discovery of TKIs Targeting L858R/T790M/C797S-Mutant EGFR in Non-small Cell Lung CancerCited by: 7
Author(s): Gyeong Man Choi, Daegeun Kim, Junehwan Oh
Software Mentions: 3
Published: over 4 years ago
10.3389/fonc.2020.00592
A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell CarcinomaCited by: 3
Author(s): Yi Jiang, Wuchao Li, Chencui Huang, Chong Tian, Qi Chen, Xian‐Chun Zeng, Yin Chen, Yi Chen, Yintong Yang, Heng Liu, Yonghua Bo, Chenggong Luo, Yiming Li, Tijiang Zhang, Rongping Wang
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0165556
Is Neural Activity Detected by ERP-Based Brain-Computer Interfaces Task Specific?Cited by: 6
Author(s): Markus Wenzel, Inês Almeida, Benjamin Blankertz
Software Mentions: 3
Published: about 9 years ago
10.1186/s13321-021-00537-9
QPHAR: quantitative pharmacophore activity relationship: method and validationCited by: 5
Author(s): Stefan Michael Kohlbacher, Thomas Langer, Thomas Seidel
Software Mentions: 3
Published: about 4 years ago
10.3390/s20082403
Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine LearningCited by: 3
Author(s): Jakub Browarczyk, Adam Kurowski, Bożena Kostek
Software Mentions: 3
Published: over 5 years ago