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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+15
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Repository owned by research institution -
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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
10.1155/2015/457071
Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian SystemCited by: 17
Author(s): Won-Mo Jung, Taehyung Lee, In-Seon Lee, Sang-Hyun Kim, Hyunchul Jang, Song-Yi Kim, Hi-Joon Park, Younbyoung Chae
Software Mentions: 2
Published: over 11 years ago
10.3390/biom10101460
Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array DataCited by: 33
Author(s): Satoshi Takahashi, Ken Asada, Ken Takasawa, Ryo Shimoyama, Akira Sakai, Amina Bolatkan, Norio Shinkai, Kazuma Kobayashi, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto
Software Mentions: 2
Published: almost 6 years ago
10.12688/f1000research.16415.1
Large-scale protein function prediction using heterogeneous ensemblesCited by: 11
Author(s): Linhua Wang, Jeffrey Law, Shiv D. Kale, T. M. Murali, Gaurav Pandey
Software Mentions: 2
Published: almost 8 years ago
10.1038/s41598-019-39815-w
Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) Improves Lipid-Based Microbial Species Level IdentificationCited by: 19
Author(s): Simon Cameron, Zsolt Bodai, Burak Temelkuran, Alvaro Perdones‐Montero, Frances Bolt, Adam Burke, Kate Alexander-Hardiman, Michel Salzet, Isabelle Fournier, Monica Rebec, Zoltán Takáts
Software Mentions: 2
Published: over 7 years ago
10.12688/f1000research.25750.1
RNA-Seq analysis of genes affected by Cyclophilin A/DIAGEOTROPICA (DGT) in tomato root developmentCited by: 2
Author(s): Maria G. Ivanchenko, Olivia R. Ozguc, Stephanie R. Bollmann, Valerie N. Fraser, Molly Megraw
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-018-38464-9
Four-dimensional joint visualization of electrode degradation and liquid water distribution inside operating polymer electrolyte fuel cellsCited by: 35
Author(s): Robin White, Sebastian H. Eberhardt, Yadvinder Singh, Tylynn Haddow, Monica Dutta, Francesco P. Orfino, Erik Kjeang
Software Mentions: 2
Published: over 7 years ago
10.7717/peerj.11790
Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar dataCited by: 8
Author(s): Victoria Scholl, Joe McGlinchy, Teo Price-Broncucia, Jennifer K. Balch, Maxwell B. Joseph
Software Mentions: 2
Published: about 5 years ago
10.1186/s12859-018-2082-9
DecoFungi: a web application for automatic characterisation of dye decolorisation in fungal strainsCited by: 3
Author(s): César Domínguez, Jónathan Heras, Eloy Mata, Vico Pascual
Software Mentions: 2
Published: over 8 years ago
10.1038/s41598-018-35582-2
Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care unitsCited by: 32
Author(s): Meng Hsuen Hsieh, Meng Ju Hsieh, Chin‐Ming Chen, Chih-Chang Hsieh, Chien‐Ming Chao, Chih‐Cheng Lai
Software Mentions: 2
Published: almost 8 years ago
10.1016/j.bpj.2020.04.032
Protein-Folding Analysis Using Features Obtained by Persistent HomologyCited by: 12
Author(s): Takashi Ichinomiya, Ippei Obayashi, Yasuaki Hiraoka
Software Mentions: 2
Published: over 6 years ago
10.3390/molecules24040743
Machine Learning Approach for Determining the Formation of β-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral AnalysisCited by: 5
Author(s): Mikołaj Mizera, Kornelia Lewandowska, Andrzej Miklaszewski, Judyta Cielecka‐Piontek
Software Mentions: 2
Published: over 7 years ago
10.1186/s12859-021-04272-8
A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patternsCited by: 0
Author(s): Wan Kin Au Yeung, Osamu Maruyama, Hidetada Sasaki
Software Mentions: 2
Published: about 5 years ago
10.3389/fonc.2018.00627
Data-Driven Discovery of Immune Contexture BiomarkersCited by: 19
Author(s): Lars Ole Schwen, Emilia Andersson, Konstanty Korski, Nick Weiss, Sabrina Haase, Fabien Gaire, Horst K. Hahn, André Homeyer, Oliver Grimm
Software Mentions: 2
Published: over 7 years ago
10.1186/s12859-020-3474-1
ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfacesCited by: 3
Author(s): Felippe C. Queiroz, Adriana Maria Patarroyo Vargas, M. G. A. Oliveira, Giovanni Comarela, Simonton Andrade Silveira
Software Mentions: 2
Published: over 6 years ago
10.1038/s41408-020-0322-5
Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphomaCited by: 19
Author(s): Victor Bobée, Fanny Drieux, Vinciane Marchand, Vincent Sater, Liana Veresezan, Jean‐Michel Picquenot, Pierre‐Julien Viailly, Marie‐Delphine Lanic, Mathieu Viennot, Élodie Bohers, Lucie Obéric, Christiane Copie‐Bergman, Thierry Jo Molina, Philippe Gaulard, Corinne Haı̈oun, Gilles Salles, Hervé Tilly, Fabrice Jardin, Philippe Ruminy
Software Mentions: 2
Published: over 6 years ago
10.1186/s12859-017-1729-2
RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkersCited by: 16
Author(s): Nicola Lazzarini, Jaume Bacardit
Software Mentions: 2
Published: about 9 years ago
10.1038/s41598-018-33110-w
Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methodsCited by: 16
Author(s): Taku Obara, Mami Ishikuro, Gen Tamiya, Masao Ueki, Chizuru Yamanaka, Satoshi Mizuno, Masahiro Kikuya, Hirohito Metoki, Hiroko Matsubara, Masato Nagai, Tomoko Kobayashi, Machiko Kamiyama, M Watanabe, Kazuhiko Kakuta, Minami Ouchi, Akiko Kurihara, Naru Fukuchi, Akihiro Yasuhara, Masumi Inagaki, Makiko Kaga, Shigeo Kure, Shinichi Kuriyama
Software Mentions: 2
Published: almost 8 years ago
10.3389/fnagi.2019.00167
Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's DiseaseCited by: 41
Author(s): Zenghui Cheng, Jiping Zhang, Naying He, Li Yan, Yaofeng Wen, Hongmin Xu, Rongbiao Tang, Zhijia Jin, E. Mark Haacke, Fuhua Yan, Dahong Qian
Software Mentions: 2
Published: about 7 years ago
10.1093/braincomms/fcaa202
Biomarkers of memory variability in traumatic brain injuryCited by: 5
Author(s): Richard Adamovich‐Zeitlin, Paul A. Wanda, Ethan A. Solomon, Tung D. Phan, Bradley Lega, Barbara C. Jobst, Robert E. Gross, Kan Ding, Ramon Diaz‐Arrastia, Michael J. Kahana
Software Mentions: 2
Published: over 5 years ago
10.1186/s12859-021-04270-w
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasetsCited by: 21
Author(s): Léa Pradier, Tazzio Tissot, Anna-Sophie Fiston-Lavier, Stéphanie Bedhomme
Software Mentions: 2
Published: about 5 years ago
10.1186/1471-2105-15-93
SPiCE: a web-based tool for sequence-based protein classification and explorationCited by: 16
Author(s): Bastiaan A. van den Berg, Marcel J. T. Reinders, Johannes A. Roubos, Dick de Ridder
Software Mentions: 2
Published: over 12 years ago
10.7717/peerj.488
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learningCited by: 198
Author(s): Dan Stowell, Mark D. Plumbley
Software Mentions: 2
Published: about 12 years ago
10.1038/s41598-018-27627-3
Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomicsCited by: 42
Author(s): Anna Lundmark, Natalija Gerasimčik, Tove Båge, Anders Jemt, Annelie Mollbrink, Fredrik Salmén, Joakim Lundeberg, Tülay Yucel‐Lindberg
Software Mentions: 2
Published: about 8 years ago
10.3390/brainsci11081049
Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple SclerosisCited by: 9
Author(s): Katrin Trentzsch, Paula Schumann, Grzegorz Śliwiński, Paul Bartscht, Rocco Haase, Dirk Schriefer, Andreas Zink, Andreas Heinke, Thurid Jochim, Hagen Malberg, Tjalf Ziemssen
Software Mentions: 2
Published: about 5 years ago
10.3389/fonc.2020.597486
A Urine-Based Liquid Biopsy Method for Detection of Upper Tract Urinary CarcinomaCited by: 11
Author(s): Yan Xu, Xin Ma, Xing Ai, Jiangping Gao, Yiming Liang, Qin Zhang, Tao Ma, Kaisheng Mao, Qiwen Zheng, Sizhen Wang, Yuchen Jiao, Xu Zhang, Hongzhao Li
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-018-23534-9
Extracting biological age from biomedical data via deep learning: too much of a good thing?Cited by: 78
Author(s): Timothy V. Pyrkov, Konstantin Slipensky, Mikhail Barg, Alexey Kondrashin, Boris Zhurov, Aleksandr Zenin, Mikhail A. Pyatnitskiy, L. I. Men’shikov, Sergei Markov, П. О. Федичев
Software Mentions: 2
Published: over 8 years ago
10.1038/s41598-018-25891-x
Sensory representation of an auditory cued tactile stimulus in the posterior parietal cortex of the mouseCited by: 16
Author(s): Hemanth Mohan, Yasir Gallero‐Salas, Stefano Carta, João Sacramento, Balazs Laurenczy, Lazar T. Sumanovski, De Kock, Fritjof Helmchen, Shankar Sachidhanandam
Software Mentions: 2
Published: over 8 years ago
10.3389/frai.2021.624629
An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning AlgorithmsCited by: 3
Author(s): Przemysław Juda, Philippe Renard
Software Mentions: 2
Published: over 5 years ago
10.1016/j.patter.2020.100087
Cellular State Transformations Using Deep Learning for Precision Medicine ApplicationsCited by: 7
Author(s): Colin Targonski, M. Reed Bender, Benjamin T. Shealy, Benafsh Husain, Bill Paseman, Melinda Smith, F. Alex Feltus
Software Mentions: 2
Published: about 6 years ago
10.1186/s12864-019-6153-8
Hecaton: reliably detecting copy number variation in plant genomes using short read sequencing dataCited by: 3
Author(s): Raúl Y. Wijfjes, Sandra Smit, Dick de Ridder
Software Mentions: 2
Published: almost 7 years ago
10.3390/brainsci11040521
Differentiating Real-World Autobiographical Experiences without Recourse to BehaviourCited by: 0
Author(s): Jonathan Erez, Mélanie Gagnon, Adrian M. Owen
Software Mentions: 2
Published: over 5 years ago
10.3389/frai.2021.579931
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian DataCited by: 25
Author(s): Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, Cristiano M. Silva, Daniel L. Guidoni
Software Mentions: 2
Published: about 5 years ago
10.3390/brainsci10050319
Logistic Regression Algorithm Differentiates Gulf War Illness (GWI) Functional Magnetic Resonance Imaging (fMRI) Data from a Sedentary ControlCited by: 4
Author(s): Destie Provenzano, Stuart D. Washington, Yuan James Rao, Murray H. Loew, James N. Baraniuk
Software Mentions: 2
Published: over 6 years ago
10.3389/fonc.2021.621088
Predicting Survival Duration With MRI Radiomics of Brain Metastases From Non-small Cell Lung CancerCited by: 20
Author(s): Bihong T. Chen, Taihao Jin, Ningrong Ye, Isa Mambetsariev, Tao Wang, Chi Wah Wong, Zikuan Chen, Russell C. Rockne, Rivka R. Colen, Andrei I. Holodny, Sagus Sampath, Ravi Salgia
Software Mentions: 2
Published: over 5 years ago
10.3390/genes9100478
An Improved Method for Prediction of Cancer Prognosis by Network LearningCited by: 32
Author(s): Min‐Seon Kim, Ilhwan Oh, Jaegyoon Ahn
Software Mentions: 2
Published: almost 8 years ago
10.1038/s41598-018-21070-0
Machine learning of correlated dihedral potentials for atomistic molecular force fieldsCited by: 21
Author(s): Pascal Friederich, Manuel Konrad, Timo Strunk, Wolfgang Wenzel
Software Mentions: 2
Published: over 8 years ago
10.12688/wellcomeopenres.16718.1
An automated approach to identify scientific publications reporting pharmacokinetic parametersCited by: 6
Author(s): Ferran Gonzalez Hernandez, Simon J. Carter, Juha Iso-Sipilä, Paul C. Goldsmith, Ahmed Almousa, Silke Gastine, Watjana Lilaonitkul, Frank Kloprogge, Joseph F. Standing
Software Mentions: 2
Published: over 5 years ago
10.12688/wellcomeopenres.15617.3
Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family StudyCited by: 3
Author(s): Laura de Nooij, Mathew A. Harris, Emma L. Hawkins, Toni‐Kim Clarke, Xueyi Shen, Stella W. Y. Chan, Tim Ziermans, Andrew M. McIntosh, Heather C. Whalley
Software Mentions: 2
Published: almost 6 years ago
10.12688/wellcomeopenres.15201.3
Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learningCited by: 26
Author(s): Mario González‐Jiménez, Simon A. Babayan, Pegah Khazaeli, Margaret Doyle, Finlay Walton, Elliott Reedy, Thomas Glew, Mafalda Viana, Lisa Ranford-Cartwright, Abdoulaye Niang, Doreen J. Siria, Fredros O. Okumu, Abdoulaye Diabaté, Heather M. Ferguson, Francesco Baldini, Klaas Wynne
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-017-11746-4
CScape: a tool for predicting oncogenic single-point mutations in the cancer genomeCited by: 41
Author(s): Mark F. Rogers, Hashem A. Shihab, Tom R. Gaunt, Colin Campbell
Software Mentions: 2
Published: almost 9 years ago
10.3389/fninf.2019.00070
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI DataCited by: 171
Author(s): Taban Eslami, Vahid Mirjalili, A.C.M. Fong, Angela R. Laird, Fahad Saeed
Software Mentions: 2
Published: almost 7 years ago
10.1016/j.wroa.2021.100093
Predictive water virology using regularized regression analyses for projecting virus inactivation efficiency in ozone disinfectionCited by: 9
Author(s): Syun suke Kadoya, Osamu Nishimura, Hiroyuki Kato, Daisuke Sano
Software Mentions: 2
Published: over 5 years ago
10.3390/ijms21165814
DispHred: A Server to Predict pH-Dependent Order–Disorder Transitions in Intrinsically Disordered ProteinsCited by: 14
Author(s): Jaime Santos, Valentín Iglesias, Carlos Pintado, Juan Santos-Suárez, Salvador Ventura
Software Mentions: 2
Published: about 6 years ago
10.3389/fonc.2020.01363
Identification of Predominant Histopathological Growth Patterns of Colorectal Liver Metastasis by Multi-Habitat and Multi-Sequence Based Radiomics AnalysisCited by: 27
Author(s): Yujia Han, Fan Chai, Jingwei Wei, Yali Yue, Jin Cheng, Dongsheng Gu, Yinli Zhang, Tong Tong, Weiqi Sheng, Nan Hong, Yingjiang Ye, Yi Wang, Jie Tian
Software Mentions: 2
Published: about 6 years ago
10.1371/journal.pmed.1002709
Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry studyCited by: 81
Author(s): Shane Nanayakkara, Sam Fogarty, Michael Tremeer, Kelvin Ross, Brent Richards, Christoph Bergmeir, Sheng Xu, Dion Stub, Karen Smith, Mark Tacey, Danny Liew, David Pilcher, David M. Kaye
Software Mentions: 2
Published: almost 8 years ago
10.1371/journal.pgen.1007872
Walking along chromosomes with super-resolution imaging, contact maps, and integrative modelingCited by: 197
Author(s): Guy Nir, Irene Farabella, Cynthia Pérez Estrada, Carl G. Ebeling, Brian J. Beliveau, Hiroshi Sasaki, S. Dean Lee, Son C. Nguyen, Ruth B. McCole, Shyamtanu Chattoraj, Jelena Erceg, Jumana AlHaj Abed, Nuno M. C. Martins, Huy Nguyen, Mohammed A. Hannan, Sheikh Russell, Neva C. Durand, Suhas S.P. Rao, Jocelyn Y. Kishi, Paula Soler-Vila, Michele Di Pierro, José N. Onuchic, Steven P. Callahan, John Schreiner, Jeff A. Stuckey, Peng Yin, E Aiden, Marc A. Martí‐Renom, C-ting Wu
Software Mentions: 2
Published: over 7 years ago
10.1186/s12859-020-3437-6
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networksCited by: 17
Author(s): Jin Liu, Guanxin Tan, Wei Lan, Jianxin Wang
Software Mentions: 2
Published: almost 6 years ago
10.1186/s12859-019-3050-8
Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selectionCited by: 46
Author(s): Alejandro Lopez-Rincon, Marlet Martínez‐Archundia, Gustavo Ulises Martínez-Ruiz, Alexander Schoenhuth, Alberto Tonda
Software Mentions: 2
Published: almost 7 years ago
10.3390/ijms21249548
DockingApp RF: A State-of-the-Art Novel Scoring Function for Molecular Docking in a User-Friendly Interface to AutoDock VinaCited by: 13
Author(s): Gabriele Macari, Daniele Toti, Andrea Pasquadibisceglie, Fabio Polticelli
Software Mentions: 2
Published: over 5 years ago
10.7554/eLife.36652
Functional gradients of the cerebellumCited by: 264
Author(s): Xavier Guell, Jeremy D. Schmahmann, John D. E. Gabrieli, Samik Ghosh
Software Mentions: 2
Published: about 8 years ago
10.3390/ijms22062847
An Inverse QSAR Method Based on a Two-Layered Model and Integer ProgrammingCited by: 5
Author(s): Yu Shi, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu
Software Mentions: 2
Published: over 5 years ago
10.7554/eLife.60336
The amygdala instructs insular feedback for affective learningCited by: 14
Author(s): Dominic Kargl, Joanna Kaczanowska, Sophia Ulonska, Florian Groessl, Łukasz Piszczek, Jelena Lazović, Katja Buehler, Wulf Haubensak
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pgen.1007341
Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechelliaCited by: 87
Author(s): Daniel R. Schrider, Julien F. Ayroles, Daniel R. Matute, Andrew D. Kern
Software Mentions: 2
Published: over 8 years ago
10.3390/v13081574
A Genome-Wide CRISPR/Cas9 Screen Reveals the Requirement of Host Sphingomyelin Synthase 1 for Infection with Pseudorabies Virus Mutant gD–PassCited by: 6
Author(s): Julia E. Hölper, Finn Grey, J Kenneth Baillie, Tim Regan, Nick Parkinson, Dirk W. Höper, Thiprampai Thamamongood, Martin Schwemmle, Katrin Pannhorst, Lisa Wendt, Thomas C. Mettenleiter, Barbara G. Klupp
Software Mentions: 2
Published: about 5 years ago
10.1186/s12859-019-3054-4
Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selectionCited by: 21
Author(s): Jinhong Shi, Yan Yan, Matthew G. Links, Longhai Li, Jo-Anne R. Dillon, Michael C. Horsch, Anthony Kusalik
Software Mentions: 2
Published: almost 7 years ago
10.7554/eLife.57148
Dynamic encoding of social threat and spatial context in the hypothalamusCited by: 14
Author(s): Piotr Krzywkowski, Beatrice Penna, Cornelius Gross
Software Mentions: 2
Published: almost 6 years ago
10.7554/eLife.08935
Human blindsight is mediated by an intact geniculo-extrastriate pathwayCited by: 101
Author(s): Sara Ajina, Franco Pestilli, Ariel Rokem, Christopher Kennard, Holly Bridge
Software Mentions: 2
Published: almost 11 years ago
10.1038/srep44434
Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography dataCited by: 3
Author(s): Carl-Magnus Svensson, Birgit Hoffmann, Ingo M. Irmler, Maria Straßburger, Marc Thilo Figge, Hans Peter Saluz
Software Mentions: 2
Published: over 9 years ago
10.2196/21559
Analysis of Scientific Publications During the Early Phase of the COVID-19 Pandemic: Topic Modeling StudyCited by: 42
Author(s): Andreas Älgå, Oskar Eriksson, M. E. Nordberg
Software Mentions: 2
Published: almost 6 years ago
10.2196/14337
Surveilling Influenza Incidence With Centers for Disease Control and Prevention Web Traffic Data: Demonstration Using a Novel DatasetCited by: 4
Author(s): Wendy K. Caldwell, Geoffrey Fairchild, Sara Y. Del Valle
Software Mentions: 2
Published: about 6 years ago
10.7554/eLife.62046
Single-molecule view of coordination in a multi-functional DNA polymeraseCited by: 10
Author(s): Raymond F. Pauszek, Rajan Lamichhane, Arishma Rajkarnikar Singh, David P. Millar
Software Mentions: 2
Published: over 5 years ago
10.1371/journal.pntd.0005962
Quantitative multiplexed proteomics of Taenia solium cysts obtained from the skeletal muscle and central nervous system of pigsCited by: 12
Author(s): José Navarrete-Perea, Marta Isasa, João A. Paulo, Ricardo Corral-Corral, Jeanette Flores-Bautista, Beatriz Hernández-Téllez, Raúl J. Bobes, Gladis Fragoso, Edda Sciutto, Xavier Soberón, Steven P. Gygi, Juan Pedro Laclette
Software Mentions: 2
Published: almost 9 years ago
10.7554/eLife.45160
Attentional amplification of neural codes for number independent of other quantities along the dorsal visual streamCited by: 47
Author(s): Elisa Castaldi, Manuela Piazza, Stanislas Dehaene, Alexandre Vignaud, Evelyn Eger
Software Mentions: 2
Published: about 7 years ago
10.3390/metabo10060237
QSRR Automator: A Tool for Automating Retention Time Prediction in Lipidomics and MetabolomicsCited by: 27
Author(s): Bradley C. Naylor, J. Leon Catrow, J. Alan Maschek, James E. Cox
Software Mentions: 2
Published: about 6 years ago
10.7554/eLife.42138
Motor context dominates output from purkinje cell functional regions during reflexive visuomotor behavioursCited by: 35
Author(s): Laura D. Knogler, Andreas M. Kist, Rubén Portugues
Software Mentions: 2
Published: over 7 years ago
10.1093/ve/veaa106
Tuning intrinsic disorder predictors for virus proteinsCited by: 3
Author(s): Gal Almog, Abayomi S Olabode, Art F. Y. Poon
Software Mentions: 2
Published: over 5 years ago
10.7554/eLife.63591
Functional specialization within the inferior parietal lobes across cognitive domainsCited by: 49
Author(s): Ole Numssen, Danilo Bzdok, Gesa Hartwigsen
Software Mentions: 2
Published: over 5 years ago
10.1534/g3.116.038448
Genomic Data Quality Impacts Automated Detection of Lateral Gene Transfer in FungiCited by: 21
Author(s): Pierre‐Yves Dupont, Murray P. Cox
Software Mentions: 2
Published: over 9 years ago
10.7554/eLife.61277
Neuronal timescales are functionally dynamic and shaped by cortical microarchitectureCited by: 122
Author(s): Richard Gao, Ruud L. van den Brink, Thomas Pfeffer, Bradley Voytek
Software Mentions: 2
Published: almost 6 years ago
10.2196/15547
Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational StudyCited by: 11
Author(s): Rüdiger Pryss, Winfried Schlee, Burkhard Hoppenstedt, Manfred Reichert, Myra Spiliopoulou, Berthold Langguth, Marius Breitmayer, Thomas Probst
Software Mentions: 2
Published: about 6 years ago
10.2196/25431
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment AnalysisCited by: 87
Author(s): Hyeju Jang, Emily Rempel, David R. Roth, Giuseppe Carenini, Naveed Z. Janjua
Software Mentions: 2
Published: over 5 years ago
10.1038/srep36788
Rapid Evaporative Ionisation Mass Spectrometry (REIMS) Provides Accurate Direct from Culture Species Identification within the Genus CandidaCited by: 44
Author(s): Simon Cameron, Frances Bolt, Alvaro Perdones‐Montero, Tony Rickards, Kate Hardiman, Alireza Abdolrasouli, Adam Burke, Zsolt Bodai, Tamás Karancsi, Daniel Simon, Richard Schaffer, Monica Rebec, Júlia Balog, Zoltán Takáts
Software Mentions: 2
Published: almost 10 years ago
10.3389/fninf.2018.00055
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network ConnectivityCited by: 15
Author(s): Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun
Software Mentions: 2
Published: about 8 years ago
10.7554/eLife.10134
Affinity and dose of TCR engagement yield proportional enhancer and gene activity in CD4+ T cellsCited by: 62
Author(s): Karmel A. Allison, Enikö Sajti, Jana G. Collier, David Gosselin, Ty D. Troutman, Erica L. Stone, Stephen M. Hedrick, Christopher K. Glass
Software Mentions: 2
Published: about 10 years ago
10.1128/mSystems.00775-21
Comprehensive Strain-Level Analysis of the Gut Microbe Faecalibacterium prausnitzii in Patients with Liver CirrhosisCited by: 3
Author(s): Yaowen Chen, Pu Liao, Runyan Liu, Shuofeng Hu, Zhen He, Guohua Dong, Chao Feng, Sijing An, Xiaomin Ying
Software Mentions: 2
Published: about 5 years ago
10.1186/s12864-019-6293-x
Investigating the role of super-enhancer RNAs underlying embryonic stem cell differentiationCited by: 15
Author(s): Hao Chun Chang, Hsuan Cheng Huang, Hsueh Fen Juan, Chia‐Lang Hsu
Software Mentions: 2
Published: almost 7 years ago
10.1186/s12859-020-03915-6
Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platformCited by: 18
Author(s): Shengqiao Gao, Lu Han, Dan Luo, Gang Liu, Zhiyong Xiao, Guangcun Shan, Yongxiang Zhang, Wenxia Zhou
Software Mentions: 2
Published: over 5 years ago
10.1128/mSystems.00656-19
Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic DataCited by: 30
Author(s): Nenad Macesic, Oliver J. Bear Don’t Walk, Itsik Pe’er, Nicholas P. Tatonetti, Anton Y. Peleg, Anne Catrin Uhlemann
Software Mentions: 2
Published: about 6 years ago
10.1038/s41597-020-00646-4
Mapping twenty years of corn and soybean across the US Midwest using the Landsat archiveCited by: 46
Author(s): Sherrie Wang, Stefania Di Tommaso, Jillian M. Deines, David B. Lobell
Software Mentions: 2
Published: almost 6 years ago
10.1128/mSystems.00219-18
q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome DataCited by: 180
Author(s): Nicholas A. Bokulich, Matthew R. Dillon, Yilong Zhang, Jai Ram Rideout, Evan Bolyen, LI Hui-lin, Paul S. Albert, J. Gregory Caporaso
Software Mentions: 2
Published: almost 8 years ago
10.1371/journal.pone.0254720
Evaluating the impact of multivariate imputation by MICE in feature selectionCited by: 22
Author(s): Maritza Mera-Gaona, Ursula Neumann, Rubiel Vargas-Cañas, Diego M. López
Software Mentions: 2
Published: about 5 years ago
10.1128/mSphere.00530-20
PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community StructureCited by: 16
Author(s): Peter Rubbens, Ruben Props, Frederiek‐Maarten Kerckhof, Nico Boon, Willem Waegeman
Software Mentions: 2
Published: over 5 years ago
10.1128/mSphere.00218-18
Rifampin- or Capreomycin-Induced Remodeling of the <i>Mycobacterium smegmatis</i> Mycolic Acid Layer Is Mitigated in Synergistic Combinations with Cationic Antimicrobial PeptidesCited by: 10
Author(s): DeDe Kwun-Wai Man, Tokuwa Kanno, Giorgia Manzo, Brian D. Robertson, Jason T. Lam, A. James Mason
Software Mentions: 2
Published: about 8 years ago
10.1128/mBio.01375-19
Chitosan Films for Microfluidic Studies of Single Bacteria and Perspectives for Antibiotic Susceptibility TestingCited by: 8
Author(s): Julie Tréguier, Loïc Bugnicourt, G. Gay, Mamoudou Diallo, Salim T. Islam, Alexandre Toro, Laurent David, Olivier Théodoly, Guillaume Sudre, Tâm Mignot
Software Mentions: 2
Published: about 7 years ago
10.1128/mBio.02048-18
Gene Essentiality Analyzed by <i>In Vivo</i> Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of <i>Candida albicans</i>Cited by: 96
Author(s): Ella Shtifman Segal, Vladimir Gritsenko, Anton Levitan, Bhawna Yadav, Naama Dror, Jacob L. Steenwyk, Yael Silberberg, Kevin Mielich, Antonis Rokas, Neil A. R. Gow, Reinhard Kunze, Roded Sharan, Judith Berman
Software Mentions: 2
Published: almost 8 years ago
10.1186/s12864-015-1264-3
Extrapolating histone marks across developmental stages, tissues, and species: an enhancer prediction case studyCited by: 15
Author(s): John A. Capra
Software Mentions: 2
Published: over 11 years ago
10.1186/s12911-020-01329-1
Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosisCited by: 13
Author(s): Bin Ma, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Meihong Yang, Jingshan Huang
Software Mentions: 2
Published: almost 6 years ago
10.2196/jmir.3532
The Reliability of Tweets as a Supplementary Method of Seasonal Influenza SurveillanceCited by: 84
Author(s): Anoshé A Aslam, Ming‐Hsiang Tsou, Brian H. Spitzberg, Li An, Jean Mark Gawron, Dipak Kumar Gupta, K. Michael Peddecord, Anna Nagel, Christopher Allen, Jiue-An Yang, Suzanne P. Lindsay
Software Mentions: 2
Published: almost 12 years ago
10.2196/24246
A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and ValidationCited by: 70
Author(s): Siavash Bolourani, Max Brenner, Haichao Wang, Thomas McGinn, Jamie S. Hirsch, Douglas P. Barnaby, Theodoros P. Zanos
Software Mentions: 2
Published: over 5 years ago
10.1128/mBio.01593-17
Selective Proteomic Analysis of Antibiotic-Tolerant Cellular Subpopulations in <i>Pseudomonas aeruginosa</i> BiofilmsCited by: 41
Author(s): Brett M. Babin, Lydia Atangcho, Mark B. van Eldijk, Michael J. Sweredoski, Annie Moradian, Sonja Hess, Tim Tolker‐Nielsen, Dianne K. Newman, David A. Tirrell
Software Mentions: 2
Published: almost 9 years ago
10.1186/s12862-019-1552-7
tRNA functional signatures classify plastids as late-branching cyanobacteriaCited by: 4
Author(s): Travis J Lawrence, Katherine C. H. Amrine, Wesley D. Swingley, David H. Ardell
Software Mentions: 2
Published: almost 7 years ago
10.1016/j.molcel.2018.11.031
Target-Specific Precision of CRISPR-Mediated Genome EditingCited by: 165
Author(s): Anob M. Chakrabarti, Tristan Henser-Brownhill, Josep Monserrat, Anna R. Poetsch, Nicholas M. Luscombe, Paola Scaffidi
Software Mentions: 2
Published: over 7 years ago
10.2196/26302
Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis StudyCited by: 36
Author(s): Hanyin Wang, Yikuan Li, Meghan R. Hutch, Andrew M. Naidech, Yuan Luo
Software Mentions: 2
Published: over 5 years ago
10.1126/sciadv.abd7954
Prostaglandin E <sub>2</sub> promotes intestinal inflammation via inhibiting microbiota-dependent regulatory T cellsCited by: 39
Author(s): Siobhan Crittenden, Marie Goepp, Jolinda Pollock, Calum T. Robb, Danielle J. Smyth, You Zhou, Robert Andrews, Victoria J. Tyrrell, Konstantinos Gkikas, Alexander Adima, Richard A. O’Connor, Luke C. Davies, Xuefeng Li, Hatti X. Yao, Gwo‐Tzer Ho, Xiaozhong Zheng, Amil Mair, Sonja Vermeren, Bin‐Zhi Qian, Damian J. Mole, Konstantinos Gerasimidis, Jürgen Schwarze, Richard M. Breyer, Mark J. Arends, Valerie Bridget O'Donnell, John P. Iredale, Stephen M. Anderton, Shuh Narumiya, Rick M. Maizels, Adriano G. Rossi, Sarah Howie, Chengcan Yao
Software Mentions: 2
Published: over 5 years ago
10.1186/s12859-020-03944-1
PCirc: random forest-based plant circRNA identification softwareCited by: 13
Author(s): Shuwei Yin, Xiao Tian, Jingjing Zhang, Peisen Sun, Guanglin Li
Software Mentions: 2
Published: over 5 years ago
10.1126/sciadv.aav0693
New tolerance factor to predict the stability of perovskite oxides and halidesCited by: 666
Author(s): Christopher J. Bartel, Christopher Sutton, Bryan R. Goldsmith, Runhai Ouyang, Charles B. Musgrave, Luca M. Ghiringhelli, Matthias Scheffler
Software Mentions: 2
Published: over 7 years ago
10.1177/2331216518776817
Application of Data Mining to “Big Data” Acquired in Audiology: Principles and PotentialCited by: 19
Author(s): Joseph Mellor, Michael Stone, John Keane
Software Mentions: 2
Published: over 8 years ago
10.3389/fneur.2021.670944
A Set of Eight Key Questions Helps to Classify Common Vestibular Disorders—Results From the DizzyReg Patient RegistryCited by: 7
Author(s): Ralf Strobl, Michael Grözinger, Andreas Zwergal, Doreen Huppert, Filipp Filippopulos, Eva Grill
Software Mentions: 2
Published: over 5 years ago
10.1038/s41398-020-01104-w
Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notesCited by: 8
Author(s): William Boag, Olga Kovaleva, Thomas H. McCoy, Anna Rumshisky, Peter Szolovits, Roy H. Perlis
Software Mentions: 2
Published: over 5 years ago
10.1038/s41398-020-00965-5
Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosisCited by: 53
Author(s): Walid Yassin, Hayato Nakatani, Yinghan Zhu, Mitsuharu Kojima, Keiho Owada, Hitoshi Kuwabara, Wataru Gonoi, Yuta Aoki, Hidemasa Takao, Tatsunobu Natsubori, Norichika Iwashiro, Kazuhiko Kasai, Yukiko Kano, Osamu Abe, Hidenori Yamasue, Shinsuke Koike
Software Mentions: 2
Published: about 6 years ago