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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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
10.1186/s13321-021-00536-w
Learning protein-ligand binding affinity with atomic environment vectorsCited by: 21
Author(s): Rocco Meli, Andrew Anighoro, Michael J. Bodkin, Garrett M. Morris, Philip C. Biggin
Software Mentions: 6
Published: about 5 years ago
10.1001/jamanetworkopen.2021.8075
Assessment of Overuse of Medical Tests and Treatments at US Hospitals Using Medicare ClaimsCited by: 21
Author(s): Kelsey Chalmers, Philip E. Smith, Judith A. Garber, Valérie Gopinath, Shannon Brownlee, Allen D. Schwartz, Adam G Elshaug, Vikas Saini
Software Mentions: 6
Published: over 5 years ago
10.1016/j.immuni.2019.01.001
Single-Cell Transcriptomics of Regulatory T Cells Reveals Trajectories of Tissue AdaptationCited by: 322
Author(s): Ricardo J. Miragaia, Tomás Gomes, Agnieszka Chomka, Laura Jardine, Angela Riedel, Ahmed N. Hegazy, Natasha Whibley, A. Tucci, Xi Chen, Ida Lindeman, Guy Emerton, Thomas Krausgruber, Jacqueline D. Shields, Muzlifah Haniffa, Fiona Powrie, Sarah A. Teichmann
Software Mentions: 6
Published: over 7 years ago
10.1186/s13326-019-0212-6
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notesCited by: 6
Author(s): Mercedes Arguello-Casteleiro, Robert Stevens, Julio Des-Diz, Chris Wroe, M.J. Fernandez-Prieto, Nava Maroto, Diego Maseda-Fernandez, George Demetriou, Simon Peters, P. J. W. Noble, Phil Jones, Joanna Dukes‐McEwan, Alan Radford, John Keane, Goran Nenadić
Software Mentions: 6
Published: almost 7 years ago
10.1016/j.cell.2016.09.027
Molecular Diversity of Midbrain Development in Mouse, Human, and Stem CellsCited by: 620
Author(s): Gioele La Manno, Daniel Gyllborg, Simone Codeluppi, Kaneyasu Nishimura, Carmen Saltó, Amit Zeisel, Lars E. Borm, Simon Stott, Enrique M. Toledo, J. Carlos Villaescusa, Peter Lönnerberg, Jesper Ryge, Roger A. Barker, Ernest Arenas, Sten Linnarsson
Software Mentions: 6
Published: about 10 years ago
10.1186/s12933-019-0879-0
Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomicsCited by: 45
Author(s): Quincy A. Hathaway, Skyler M. Roth, Mark V. Pinti, Daniel C. Sprando, Amina Kunovac, Andrya J. Durr, Chris C. Cook, Garrett K. Fink, Tristen B. Cheuvront, Jasmine H. Grossman, Ghadah A. Aljahli, Andrew Taylor, Andrew Giromini, Jessica L. Allen, John M. Hollander
Software Mentions: 6
Published: over 7 years ago
10.1016/j.cell.2020.08.013
Cell Types of the Human Retina and Its Organoids at Single-Cell ResolutionCited by: 302
Author(s): Cameron Cowan, Magdalena Renner, Martina De Gennaro, Brigitte Gross-Scherf, David Goldblum, Yanyan Hou, Martin Munz, Tiago M. Rodrigues, Jacek Król, Tamás Szikra, Rachel Cuttat, Annick Waldt, Panagiotis Papasaikas, Roland Diggelmann, Claudia P. Patino-Alvarez, Patricia Galliker, Stefan Erich Spirig, Dinko Pavlinic, Nadine Gerber-Hollbach, Sven Schuierer, Aldin Srdanovic, Márton Balogh, Riccardo Panero, Ákos Kusnyerik, Arnold Szabó, Michael Stadler, Selim Orgül, Simone Picelli, Pascal W. Hasler, Andreas Hierlemann, Hendrik P. N. Scholl, Guglielmo Roma, Florian Nigsch, Botond Roska
Software Mentions: 6
Published: about 6 years ago
10.1016/j.celrep.2019.03.102
The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the NeocortexCited by: 14
Author(s): Yann Zerlaut, Stefano Zucca, Stefano Panzeri, Tommaso Fellin
Software Mentions: 6
Published: over 7 years ago
10.1136/gutjnl-2020-323877
Blue poo: impact of gut transit time on the gut microbiome using a novel markerCited by: 61
Author(s): Francesco Asnicar, Emily R Leeming, Eirini Dimidi, Mohsen Mazidi, Paul W. Franks, Haya Al Khatib, Ana M. Valdes, Richard Davies, Elco Bakker, Lucy Francis, Andrew T. Chan, Rachel Gibson, George Hadjigeorgiou, Jonathan Wolf, Timothy D. Spector, Nicola Segata, Sarah Berry
Software Mentions: 6
Published: over 5 years ago
10.1038/s42003-021-01908-6
Population genomics and haplotype analysis in spelt and bread wheat identifies a gene regulating glume colorCited by: 8
Author(s): Michaël Abrouk, Naveenkumar Athiyannan, Thomas Müller, Yveline Pailles, Christoph Stritt, Anne Roulin, Chenggen Chu, Shuyu Liu, Takumi Morita, Hirokazu Handa, Jesse Poland, Beat Keller, Simon G. Krattinger
Software Mentions: 6
Published: over 5 years ago
10.3390/cancers12061507
Small Non-Coding RNA Profiling in Plasma Extracellular Vesicles of Bladder Cancer Patients by Next-Generation Sequencing: Expression Levels of miR-126-3p and piR-5936 Increase with Higher Histologic GradesCited by: 33
Author(s): Alexandru A Sabo, Giovanni Birolo, Alessio Naccarati, Mihnea P. Dragomir, Serena Aneli, Alessandra Allione, Marco Oderda, Marco Allasia, Paolo Gontero, Carlotta Sacerdote, Paolo Víneis, Giuseppe Matullo, Barbara Pardini
Software Mentions: 6
Published: over 6 years ago
10.1007/s00429-020-02046-1
CBPtools: a Python package for regional connectivity-based parcellationCited by: 9
Author(s): Niels Reuter, Sarah Genon, Shahrzad Kharabian Masouleh, Felix Hoffstaedter, Xiaojin Liu, Tobias Kalenscher, Simon B. Eickhoff, Kaustubh R. Patil
Software Mentions: 6
Published: over 6 years ago
10.1093/gigascience/giab058
Scalable analysis of multi-modal biomedical dataCited by: 3
Author(s): Jaclyn Smith, Yao Shi, Michael Benedikt, Miloš Nikolić
Software Mentions: 6
Published: about 5 years ago
10.1186/s12885-021-08617-7
Precision treatment exploration of breast cancer based on heterogeneity analysis of lncRNAs at the single-cell levelCited by: 3
Author(s): Yan Zhang, Denan Zhang, Qingkang Meng, Ziqi Liu, Hongbo Xie, Lei Liu, Fei Xu, Xiujie Chen
Software Mentions: 6
Published: about 5 years ago
10.1007/s00429-021-02358-w
Dissecting whole-brain conduction delays through MRI microstructural measuresCited by: 6
Author(s): Matteo Mancini, Qiyuan Tian, Qiuyun Fan, Mara Cercignani, Susie Y. Huang
Software Mentions: 6
Published: about 5 years ago
10.1186/s13321-016-0180-0
Mapping the 3D structures of small molecule binding sitesCited by: 13
Author(s): Joshua Meyers, Nathan Brown, Julian Blagg
Software Mentions: 6
Published: almost 10 years ago
10.1371/journal.pone.0207967
Lateral ventricle volume trajectories predict response inhibition in older age—A longitudinal brain imaging and machine learning approachCited by: 11
Author(s): Astri J. Lundervold, Alexandra Vik
Software Mentions: 6
Published: over 7 years ago
10.1186/s12915-021-01002-7
A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variantsCited by: 12
Author(s): Jean-Philippe Villemin, Claudio Lorenzi, Marie-Sarah Cabrillac, Andrew Oldfield, William Ritchie, Reini F. Luco
Software Mentions: 6
Published: over 5 years ago
10.1186/s13321-021-00552-w
DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learningCited by: 20
Author(s): Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao
Software Mentions: 6
Published: about 5 years ago
10.1186/s12915-021-01086-1
A phenomics approach for antiviral drug discoveryCited by: 10
Author(s): Jonne Rietdijk, Marianna Tampere, Aleksandra Pettke, Polina Georgiev, Maris Lapins, Ulrika Warpman Berglund, Ola Spjuth, Marjo-Riitta Puumalainen, Jordi Carreras-Puigvert
Software Mentions: 6
Published: about 5 years ago
10.1371/journal.pcbi.1008309
AnnapuRNA: A scoring function for predicting RNA-small molecule binding posesCited by: 34
Author(s): Filip Stefaniak, Janusz Bujnicki
Software Mentions: 6
Published: over 5 years ago
10.3390/brainsci10110851
Functional and Structural Connectome Features for Machine Learning Chemo-Brain Prediction in Women Treated for Breast Cancer with ChemotherapyCited by: 4
Author(s): Vincent Chin‐Hung Chen, Tung-Yeh Lin, Dah-Cherng Yeh, Jyh‐Wen Chai, Jun‐Cheng Weng
Software Mentions: 6
Published: almost 6 years ago
10.1371/journal.pone.0244175
Rapid detection of fast innovation under the pressure of COVID-19Cited by: 11
Author(s): Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello, Gualtiero Fantoni
Software Mentions: 6
Published: almost 6 years ago
10.1371/journal.pone.0245157
A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsisCited by: 38
Author(s): William P T M van Doorn, Patricia M. Stassen, Hella F. Borggreve, Maaike J. Schalkwijk, Judith Stoffers, Otto Bekers, Steven J.R. Meex
Software Mentions: 6
Published: over 5 years ago
10.1186/s13007-020-00591-8
The BELT and phenoSEED platforms: shape and colour phenotyping of seed samplesCited by: 18
Author(s): Keith Halcro, Kaitlin McNabb, Ashley Lockinger, Didier Socquet-Juglard, Kirstin E. Bett, Scott D. Noble
Software Mentions: 6
Published: over 6 years ago
10.1186/s13059-021-02435-7
DeTOKI identifies and characterizes the dynamics of chromatin TAD-like domains in a single cellCited by: 15
Author(s): Xiao Li, Guangjie Zeng, Angsheng Li, Zhihua Zhang
Software Mentions: 6
Published: about 5 years ago
10.1371/journal.pone.0250282
Understanding interactions between risk factors, and assessing the utility of the additive and multiplicative models through simulationsCited by: 5
Author(s): Lina-Marcela Diaz-Gallo, Boel Brynedal, Helga Westerlind, Rickard Sandberg, Daniel Ramsköld
Software Mentions: 6
Published: over 5 years ago
10.1186/s13059-019-1837-6
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq dataCited by: 162
Author(s): Cédric Arisdakessian, Olivier Poirion, Breck Yunits, Xun Zhu, Lana X. Garmire
Software Mentions: 6
Published: almost 7 years ago
10.1534/g3.114.016196
A Multipurpose, High-Throughput Single-Nucleotide Polymorphism Chip for the Dengue and Yellow Fever Mosquito, <i>Aedes aegypti</i>Cited by: 53
Author(s): Benjamin R. Evans, Andrea Gloria‐Soria, Lin Hou, Carolyn S. McBride, Mariangela Bonizzoni, Hongyu Zhao, Jeffrey R. Powell
Software Mentions: 6
Published: over 11 years ago
10.1371/journal.pone.0203725
An open-source software analysis package for Microspheres with Ratiometric Barcode Lanthanide Encoding (MRBLEs)Cited by: 15
Author(s): Björn Harink, Huy Nguyen, Kurt S. Thorn, Polly M. Fordyce
Software Mentions: 6
Published: over 7 years ago
10.3390/genes12071067
Total Genotype Score Modelling of Polygenic Endurance-Power Profiles in Lithuanian Elite AthletesCited by: 6
Author(s): Erinija Pranckevičienė, Valentina Ginevičienė, Audronė Jakaitienė, Laimonas Januska, Algirdas Utkus
Software Mentions: 6
Published: about 5 years ago
10.1007/s10710-018-9328-1
Visualising the global structure of search landscapes: genetic improvement as a case studyCited by: 12
Author(s): Nadarajen Veerapen, Gabriela Ochoa
Software Mentions: 6
Published: about 8 years ago
10.1371/journal.pone.0236878
Modeling cannabinoids from a large-scale sample of Cannabis sativa chemotypesCited by: 12
Author(s): Daniela Vergara, Reggie Gaudino, Thomas Blank, Brian Keegan
Software Mentions: 6
Published: about 6 years ago
10.1186/s13059-019-1871-4
tmap: an integrative framework based on topological data analysis for population-scale microbiome stratification and association studiesCited by: 17
Author(s): Tianhua Liao, Yuchen Wei, Mingjing Luo, Guoping Zhao, Haokui Zhou
Software Mentions: 6
Published: almost 7 years ago
10.1371/journal.pbio.3001146
Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidationCited by: 26
Author(s): Yang Wei, Mattia Chini, Jastyn A. Pöpplau, A. Formozov, Alexander Dieter, Patrick Piechocinski, Cynthia Rais, Fabio Morellini, Olaf Sporns, Ileana L. Hanganu‐Opatz, J. Simon Wiegert
Software Mentions: 6
Published: over 5 years ago
10.3389/fpls.2021.609684
Transcriptomics of Differential Ripening in ‘d’Anjou’ Pear (Pyrus communis L.)Cited by: 5
Author(s): Loren Honaas, Heidi Hargarten, John A. Hadish, Stephen P. Ficklin, Sara Serra, Stefano Musacchi, Eric Wafula, James P. Mattheis, Claude W. dePamphilis, David R. Rudell
Software Mentions: 6
Published: over 5 years ago
10.3390/nu13092983
Supplementation of 1-Kestose Modulates the Gut Microbiota Composition to Ameliorate Glucose Metabolism in Obesity-Prone HostsCited by: 10
Author(s): Ayako Watanabe, Takumi Tochio, Yasuhiro Kadota, Motoki Takahashi, Yasuyuki Kitaura, H. Ishikawa, Takanori Yasutake, Masahiro Nakano, Hiroe Shinohara, Toru Kudo, Yuichiro Nishimoto, Yoshinori Mizuguchi, Akihito Endo, Yoshiharu Shimomura
Software Mentions: 6
Published: about 5 years ago
10.1007/s00415-020-09859-4
Posterior circulation stroke: machine learning-based detection of early ischemic changes in acute non-contrast CT scansCited by: 12
Author(s): Helge Kniep, Peter Sporns, Gabriel Broocks, André Kemmling, Jawed Nawabi, Thilo Rusche, Jens Fiehler, Uta Hanning
Software Mentions: 6
Published: over 6 years ago
10.1523/JNEUROSCI.2317-20.2021
Disentangling Semantic Composition and Semantic Association in the Left Temporal LobeCited by: 6
Author(s): Jixing Li, Liina Pylkkänen
Software Mentions: 6
Published: over 5 years ago
10.2196/27344
Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network AnalysisCited by: 9
Author(s): Sang Min Nam, Thomas A Peterson, Kyoung Yul Seo, Hyun Wook Han, Jee In Kang
Software Mentions: 6
Published: over 5 years ago
10.3389/fpsyg.2019.02678
Multiple Negative Emotions During Learning With Digital Learning Environments – Evidence on Their Detrimental Effect on Learning From Two Methodological ApproachesCited by: 17
Author(s): Franz Wortha, Roger Azevedo, Michelle Taub, Susanne Narciss
Software Mentions: 6
Published: almost 7 years ago
10.2196/20840
Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning ApproachCited by: 8
Author(s): Aaqib Shehzad, Kenneth Rockwood, Justin Stanley, Taylor Dunn, Susan E. Howlett
Software Mentions: 6
Published: almost 6 years ago
10.1186/s13059-020-02128-7
Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysisCited by: 15
Author(s): Félix Raimundo, Céline Vallot, Jean-Philippe Vert
Software Mentions: 6
Published: about 6 years ago
10.3389/fninf.2018.00089
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in PythonCited by: 159
Author(s): Hananel Hazan, Daniel J. Saunders, Hassaan F. Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Róbert Kozma
Software Mentions: 5
Published: almost 8 years ago
10.7554/eLife.66018
Information flow, cell types and stereotypy in a full olfactory connectomeCited by: 82
Author(s): Philipp Schlegel, Alexander Shakeel Bates, Tomke Stürner, Sridhar R. Jagannathan, Nikolas Drummond, Joseph Hsu, Laia Serratosa Capdevila, Alexandre Javier, Elizabeth C. Marin, Asa Barth-Maron, Imaan F M Tamimi, Feng Li, Gerald M. Rubin, Stephen M. Plaza, Marta Costa, Gregory Jefferis
Software Mentions: 5
Published: over 5 years ago
10.7554/eLife.63450
Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neuronsCited by: 28
Author(s): Qijing Xie, Maria Brbić, Felix Horns, Sai Saroja Kolluru, Robert C. Jones, Jiefu Li, Anay R Reddy, Anthony Xie, Sayeh Kohani, Zhuoran Li, Colleen N. McLaughlin, Tongchao Li, Chuanyun Xu, David Vacek, David J. Luginbuhl, Jure Leskovec, Stephen R. Quake, Liqun Luo, Hongjie Li
Software Mentions: 5
Published: over 5 years ago
10.3390/ijms21197281
SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only FeaturesCited by: 10
Author(s): António Preto, Irina S. Moreira
Software Mentions: 5
Published: about 6 years ago
10.7554/eLife.63856
Single-cell transcriptomes of developing and adult olfactory receptor neurons in DrosophilaCited by: 60
Author(s): Colleen N. McLaughlin, Maria Brbić, Qijing Xie, Tongchao Li, Felix Horns, Sai Saroja Kolluru, Justus M. Kebschull, David Vacek, Anthony Xie, Jiefu Li, Robert C. Jones, Jure Leskovec, Stephen R. Quake, Liqun Luo, Hongjie Li
Software Mentions: 5
Published: over 5 years ago
10.3389/fninf.2017.00025
Pypes: Workflows for Processing Multimodal Neuroimaging DataCited by: 10
Author(s): Alexandre Savio, Michael Schütte, Manuel Graña, Igor Yakushev
Software Mentions: 5
Published: over 9 years ago
10.1128/mSystems.00913-20
Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation MechanismsCited by: 23
Author(s): Nicole Pearcy, Yue Hu, Michelle Baker, Alexandre Maciel-Guerra, Ning Xue, Wei Wang, Jasmeet Kaler, Zong–Gen Peng, Fengqin Li, Tania Dottorini
Software Mentions: 5
Published: about 5 years ago
10.1128/mSystems.00093-19
Randomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow CytometryCited by: 14
Author(s): Peter Rubbens, Marian L. Schmidt, Ruben Props, Bopaiah A. Biddanda, Nico Boon, Willem Waegeman, Vincent J. Denef
Software Mentions: 5
Published: almost 7 years ago
10.3389/frai.2020.559617
An Interpretable Predictive Model of Vaccine Utilization for TanzaniaCited by: 1
Author(s): R. Hariharan, Johnna Sundberg, Giacomo Gallino, Ashley Schmidt, Drew Arenth, Suvrit Sra, Benjamin Fels
Software Mentions: 5
Published: almost 6 years ago
10.3389/frai.2020.00013
Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music TechnologyCited by: 5
Author(s): Francisco Bernardo, Michael Zbyszyński, Mick Grierson, Rebecca Fiebrink
Software Mentions: 5
Published: over 6 years ago
10.3389/frai.2021.680564
Topological Data Analysis Highlights Novel Geographical Signatures of the Human Gut MicrobiomeCited by: 3
Author(s): Eva Lymberopoulos, Giorgia Isabella Gentili, Muhannad Alomari, Nikhil Sharma
Software Mentions: 5
Published: about 5 years ago
10.1128/mSystems.00123-17
Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut MicrobiomeCited by: 62
Author(s): Sumayah F. Rahman, Matthew R. Olm, Michael J. Morowitz, Jillian F. Banfield
Software Mentions: 5
Published: over 8 years ago
10.3390/toxins13090669
Force Mapping Study of Actinoporin Effect in Membranes Presenting Phase DomainsCited by: 4
Author(s): Katia Cosentino, Edward Hermann, Nicolai von Kügelgen, Joseph D. Unsay, Uris Ros, Ana J. García‐Sáez
Software Mentions: 5
Published: about 5 years ago
10.1186/s12859-019-2645-4
reactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure predictionCited by: 5
Author(s): Risa Karakida Kawaguchi, Hisanori Kiryu, Junichi Iwakiri, Jun Sese
Software Mentions: 5
Published: over 7 years ago
10.1186/s40064-015-1356-1
Accurate mobile malware detection and classification in the cloudCited by: 26
Author(s): Xiaolei Wang, Yuexiang Yang, Yingzhi Zeng
Software Mentions: 5
Published: almost 11 years ago
10.1101/2020.12.21.423860
Analyzing the vast coronavirus literature with CoronaCentralCited by: 3
Author(s): Jake Lever, Russ B. Altman
Software Mentions: 5
Published: almost 6 years ago
10.1371/journal.pntd.0004549
Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola PatientsCited by: 52
Author(s): Andrés Colubri, Thomas Silver, Terrence Fradet, Kalliroi Retzepi, Benjamin N. Fry, Pardis C. Sabeti
Software Mentions: 5
Published: over 10 years ago
10.3389/fninf.2019.00053
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion ImagesCited by: 52
Author(s): Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi
Software Mentions: 5
Published: about 7 years ago
10.1371/journal.pcbi.1005541
High-order epistasis shapes evolutionary trajectoriesCited by: 88
Author(s): Zachary Sailer, Michael J. Harms
Software Mentions: 5
Published: over 9 years ago
10.1155/2021/5522729
Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning TechniquesCited by: 13
Author(s): P. Varalakshmi, Vasumathi Narayanan, Sakthi Jaya Sundar Rajasekar
Software Mentions: 5
Published: over 5 years ago
10.1186/s12859-020-03661-9
METROID: an automated method for robust quantification of subcellular fluorescence events at low SNRCited by: 0
Author(s): Marcelo Zoccoler, Pedro Xavier de Oliveira
Software Mentions: 5
Published: about 6 years ago
10.1038/s41598-021-95748-3
Comparison of machine and deep learning for the classification of cervical cancer based on cervicography imagesCited by: 31
Author(s): Ye Rang Park, Young Jae Kim, Woong Ju, Kae Hyun Nam, Soonyung Kim, Kwang Gi Kim
Software Mentions: 5
Published: about 5 years ago
10.3390/s19030521
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile DevicesCited by: 37
Author(s): Alejandro Baldominos, Alejandro Cervantes, Yago Sáez, Pedro Isasi
Software Mentions: 5
Published: over 7 years ago
10.1186/s12911-017-0556-8
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approachCited by: 111
Author(s): Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits, Henry C. Chueh
Software Mentions: 5
Published: almost 9 years ago
10.1371/journal.pcbi.1007636
Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and miceCited by: 23
Author(s): Aleksandr Kovaltsuk, Matthew I. J. Raybould, Wing Ki Wong, Claire Marks, Sebastian Kelm, James Snowden, Johannes Trück, Charlotte M. Deane
Software Mentions: 5
Published: over 6 years ago
10.1371/journal.pcbi.1009108
Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitisCited by: 5
Author(s): Necati Esener, Alexandre Maciel-Guerra, Katharina Giebel, Daniel Lea, Martin J. Green, Andrew J. Bradley, Tania Dottorini
Software Mentions: 5
Published: over 5 years ago
10.1186/s12911-020-1046-y
Monitoring stance towards vaccination in twitter messagesCited by: 20
Author(s): Florian Kunneman, Mattijs Lambooij, Albert Wong, Antal van den Bosch, Liesbeth Mollema
Software Mentions: 5
Published: over 6 years ago
10.3389/frai.2020.536086
Attitudes Toward Multilingualism in Luxembourg. A Comparative Analysis of Online News Comments and Crowdsourced Questionnaire DataCited by: 5
Author(s): Christoph Purschke
Software Mentions: 5
Published: almost 6 years ago
10.1186/s12911-020-01154-6
A predictive analytics model for differentiating between transient ischemic attacks (TIA) and its mimicsCited by: 9
Author(s): Alia Stanciu, Mihai Banciu, Alireza Sadighi, Kyle Marshall, Neil R. Holland, Vida Abedi, Ramin Zand
Software Mentions: 5
Published: over 6 years ago
10.1038/s41598-021-87064-7
Predicting the clinical management of skin lesions using deep learningCited by: 16
Author(s): Kumar Abhishek, Jeremy Kawahara, Ghassan Hamarneh
Software Mentions: 5
Published: over 5 years ago
10.1371/journal.pcbi.1008229
DeepHE: Accurately predicting human essential genes based on deep learningCited by: 24
Author(s): Xue Zhang, Wangxin Xiao, Weijia Xiao
Software Mentions: 5
Published: about 6 years ago
10.1186/s12859-019-2969-0
Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic modelsCited by: 24
Author(s): Marina Esteban-Medina, María Peña‐Chilet, Carlos Loucera, Joaquı́n Dopazo
Software Mentions: 5
Published: over 7 years ago
10.1371/journal.pcbi.1009316
A probabilistic model for the ultradian timing of REM sleep in miceCited by: 6
Author(s): Sung-Ho Park, Justin Baik, June Seok Hong, Hanna Antila, Benjamin Kurland, Shinjae Chung, Franz Weber
Software Mentions: 5
Published: about 5 years ago
10.1242/dev.183855
Aging induces aberrant state transition kinetics in murine muscle stem cellsCited by: 50
Author(s): Jacob C. Kimmel, Ara B. Hwang, Annarita Scaramozza, Wallace F. Marshall, Andrew S. Brack
Software Mentions: 5
Published: almost 7 years ago
10.3390/s20236712
PADL: A Modeling and Deployment Language for Advanced Analytical ServicesCited by: 6
Author(s): Josu Díaz-de-Arcaya, Raúl Miñón, Ana I. Torre-Bastida, Javier Del Ser, Aitor Almeida
Software Mentions: 5
Published: almost 6 years ago
10.1038/s41598-020-74748-9
Dynamic changes in the brain protein interaction network correlates with progression of Aβ42 pathology in DrosophilaCited by: 6
Author(s): Harry M. Scholes, Adam Cryar, Fiona Kerr, David Sutherland, Lee A. Gethings, Johannes P.C. Vissers, Jonathan G. Lees, Christine A. Orengo, Linda Partridge, Konstantinos Thalassinos
Software Mentions: 5
Published: almost 6 years ago
10.1186/s40168-021-01056-3
Anna Karenina and the subgingival microbiome associated with periodontitisCited by: 15
Author(s): Khaled Altabtbaei, Pooja Maney, Sukirth M. Ganesan, Shareef M Dabdoub, Haikady N. Nagaraja, Purnima Kumar
Software Mentions: 5
Published: over 5 years ago
10.1016/j.compbiomed.2015.12.002
Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriXCited by: 33
Author(s): Matthew Blackledge, David J. Collins, Dow‐Mu Koh, Martin O. Leach
Software Mentions: 5
Published: over 10 years ago
10.1038/s41598-020-69298-z
Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomicsCited by: 121
Author(s): Alexandre Carré, G. Klausner, Myriam Edjlali, Marvin Lerousseau, Jade Briend-Diop, Roger Sun, Samy Ammari, Sylvain Reuzé, É. Alvarez Andres, Théo Estienne, S. Niyoteka, Enzo Battistella, Maria Vakalopoulou, Frédéric Dhermain, Nikos Paragios, Éric Deutsch, Catherine Oppenheim, Johan Pallud, Charlotte Robert
Software Mentions: 5
Published: about 6 years ago
10.1038/s41598-020-67209-w
Laboratory culture of the California Sea Firefly Vargula tsujii (Ostracoda: Cypridinidae): Developing a model system for the evolution of marine bioluminescenceCited by: 5
Author(s): Jessica A. Goodheart, Geetanjali Minsky, Mira N. Brynjegard-Bialik, Michael S. Drummond, Jacqueline Muñoz, Timothy R. Fallon, Darrin T. Schultz, Jing‐Ke Weng, Elizabeth Torres, Todd H. Oakley
Software Mentions: 5
Published: over 6 years ago
10.1016/j.csbj.2021.05.028
Distinguishing between PTEN clinical phenotypes through mutation analysisCited by: 14
Author(s): Stephanie Portelli, Lucy Barr, Alex Guimarães Cardoso de Sá, Douglas E. V. Pires, David B. Ascher
Software Mentions: 5
Published: almost 6 years ago
10.3390/e22111198
FASTENER Feature Selection for Inference from Earth Observation DataCited by: 2
Author(s): Filip Koprivec, Klemen Kenda, Beno Šircelj
Software Mentions: 5
Published: almost 6 years ago
10.1186/s12920-019-0519-2
A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapiesCited by: 7
Author(s): Joshua Mannheimer, Dawn L. Duval, Ashok Prasad, Daniel L. Gustafson
Software Mentions: 5
Published: over 7 years ago
10.1099/mgen.0.000500
Identifying novel β-lactamase substrate activity through in silico prediction of antimicrobial resistanceCited by: 7
Author(s): Kara K. Tsang, Finlay Maguire, Haley L. Zubyk, Sommer Chou, Arman Edalatmand, Gerard D. Wright, Robert G. Beiko, Andrew G. McArthur
Software Mentions: 5
Published: almost 6 years ago
10.3390/metabo11080488
Investigating Global Lipidome Alterations with the Lipid Network ExplorerCited by: 17
Author(s): Nikolai Köhler, Tim Rose, Lisa Falk, Josch Pauling
Software Mentions: 5
Published: about 5 years ago
10.1186/s12916-021-01953-2
Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective studyCited by: 50
Author(s): Huan Yang, Lili Chen, Zhiqiang Cheng, Mo Yang, Jianbo Wang, Cheng-Hao Lin, Yuefeng Wang, Leilei Huang, Yangshan Chen, Sui Peng, Zunfu Ke, Weizhong Li
Software Mentions: 5
Published: over 5 years ago
10.1039/d0sc04263c
One class classification as a practical approach for accelerating π–π co-crystal discoveryCited by: 12
Author(s): Aikaterini Vriza, Angelos B. Canaj, Rebecca Vismara, Laurence J. Kershaw Cook, Troy D. Manning, Michael W. Gaultois, Peter A. Wood, Vitaliy Kurlin, Neil G. Berry, Matthew S. Dyer, Matthew J. Rosseinsky
Software Mentions: 5
Published: almost 6 years ago
10.3390/jcm9082603
Prediction of Adverse Events in Stable Non-Variceal Gastrointestinal Bleeding Using Machine LearningCited by: 8
Author(s): Dong-Woo Seo, Hahn Yi, Beomhee Park, Youn-Jung Kim, Dong Hwan Jung, Ilsang Woo, Chang Hwan Sohn, Byuk Sung Ko, Namkug Kim, Won Young Kim
Software Mentions: 5
Published: about 6 years ago
10.1371/journal.pcbi.1008856
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environmentCited by: 26
Author(s): Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Christophe Botella, François Munoz, Alexis Joly
Software Mentions: 5
Published: over 5 years ago
10.1371/journal.pcbi.1009345
Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural networkCited by: 11
Author(s): Zhengqiao Zhao, Stephen Woloszynek, Felix Agbavor, Joshua Chang Mell, Bahrad A. Sokhansanj, Gail Rosen
Software Mentions: 5
Published: about 5 years ago
10.1371/journal.pcbi.1009274
Validation and tuning of in situ transcriptomics image processing workflows with crowdsourced annotationsCited by: 0
Author(s): Jenny M. Vo-Phamhi, Kevin A. Yamauchi, Rafael Gómez-Sjöberg
Software Mentions: 5
Published: about 5 years ago
10.1186/s12864-020-6661-6
Analysis of heterogeneous genomic samples using image normalization and machine learningCited by: 3
Author(s): Sunitha Basodi, Pelin Icer Baykal, Alexander Zelikovsky, Pavel Skums, Yi Pan
Software Mentions: 5
Published: almost 6 years ago
10.1016/j.cels.2021.05.005
A time-resolved proteomic and prognostic map of COVID-19Cited by: 106
Author(s): Vadim Demichev, Pinkus Tober‐Lau, Oliver Lemke, Tatiana Nazarenko, Charlotte Thibeault, Harry J. Whitwell, Annika Röhl, Anja Freiwald, Łukasz Szyrwiel, Daniela Ludwig, Clara Correia‐Melo, Simran Kaur Aulakh, Elisa T Helbig, Paula Stubbemann, Lena J Lippert, Nana‐Maria Grüning, Oleg Blyuss, Spyros Vernardis, Matthew White, Christoph B. Messner, Michael Joannidis, Thomas Sonnweber, Sebastian Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Mirja Mittermaier, Felix Machleidt, Carmen García, Christoph Ruwwe‐Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Philipp Enghard, Aleksej Zelezniak, Archie Campbell, Caroline Hayward, David J. Porteous, Riccardo E. Marioni, Alexander Uhrig, Holger Müller-Redetzky, Heinz Zoller, Judith Löffler‐Ragg
Software Mentions: 5
Published: about 5 years ago
10.1186/s13321-020-00420-z
COVER: conformational oversampling as data augmentation for moleculesCited by: 19
Author(s): Jennifer Hemmerich, E. Asilar, Gerhard F. Ecker
Software Mentions: 5
Published: over 6 years ago
10.1186/s13321-021-00514-2
SANCDB: an update on South African natural compounds and their readily available analogsCited by: 22
Author(s): Bakary N'tji Diallo, Michael Glenister, Thommas M. Musyoka, Kevin A. Lobb, Özlem Tastan Bishop
Software Mentions: 5
Published: over 5 years ago
10.1186/s13321-017-0232-0
Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark setCited by: 207
Author(s): Eelke B. Lenselink, Niels ten Dijke, Brandon J. Bongers, George Papadatos, Herman van Vlijmen, Wojtek Kowalczyk, Adriaan P. IJzerman, Gerard J. P. van Westen
Software Mentions: 5
Published: about 9 years ago
10.1371/journal.pcbi.1009074
A deep learning algorithm for 3D cell detection in whole mouse brain image datasetsCited by: 39
Author(s): Adam L. Tyson, Charly V. Rousseau, Christian J. Niedworok, Sepiedeh Keshavarzi, Chryssanthi Tsitoura, Lee Cossell, Molly Strom, Troy W. Margrie
Software Mentions: 5
Published: over 5 years ago