Projects: pypi: scikit-learn
https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn
A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month
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a.joly@ulg.ac.be
vanderplas@astro.washington.edu
bh00038@cvplws63.eps.surrey.ac.uk
ha258@cornell.edu
satra@mit.edu
zl2480@columbia.edu
pinto@alum.mit.edu
jz4721@nyu.edu
matteo.visconti.gr@dartmouth.edu
vighneshbirodkar@nyu.edu
robert.l.marchman@dartmouth.edu
rs2715@stern.nyu.edu
claire.savard@colorado.edu
aaaagrawal@iitb.ac.in
ihaque@cs.stanford.edu
rspeer@mit.edu
mluessi@nmr.mgh.harvard.edu
amitibo@tx.technion.ac.il
ericchang2017@u.northwestern.edu
jkarno@seas.upenn.edu
minghui.liu@trincoll.edu
m.lyra@sussex.ac.uk
andrew.knyazev@ucdenver.edu
lamb@cs.stanford.edu
camilo@neurostat.mit.edu
martino.sorbaro@ed.ac.uk
t.sheerman-chase@surrey.ac.uk
cgohlke@uci.edu
batulaa@drexel.edu
kcarnold@alum.mit.edu
apw@seas.harvard.edu
abie@alum.mit.edu
rossbar@berkeley.edu
alceballosa@unal.edu.co
fhoang7@berkeley.edu
hechen@seas.upenn.edu
stefan@sun.ac.za
deepyaman.datta@utexas.edu
rebekah.kim@columbia.edu
shubham.bhardwaj2015@vit.ac.in
slama@berkeley.edu
nisingh@wharton.upenn.edu
kanikas3@vt.edu
jdlabal@stanford.edu
kjells@uw.edu
markus.loning.17@ucl.ac.uk
k_nzw@klis.tsukuba.ac.jp
dkirkby@uci.edu
balawson@bu.edu
c.brummitt@columbia.edu
choo8@illinois.edu
giorgio.patrini@anu.edu.au
shangwuy@andrew.cmu.edu
rafael.possas@sydney.edu.au
olsonran@msu.edu
brian.mcfee@nyu.edu
naj273@nyu.edu
dgrusak@trinity.edu
emd222@cornell.edu
voth0@sewanee.edu
trishnendu.dd2014@cs.iiests.ac.in
apeng@berkeley.edu
boucher@cs.umass.edu
lunt@ctbp.ucsd.edu
bakhbari@mgh.harvard.edu
piraka@brandeis.edu
neal.lathia@cl.cam.ac.uk
razhoshia@post.bgu.ac.il
michal.romaniuk06@ic.ac.uk
m.batchkarov@sussex.ac.uk
lemin@cs.colostate.edu
rudvlf0413@korea.ac.kr
vredev16@msu.edu
raschkas@msu.edu
ali.baharev@univie.ac.at
a.krasoulis@sms.ed.ac.uk
arokem@berkeley.edu
gabrielvr@al.insper.edu.br
eric.sanchez1234@email.bakersfieldcollege.edu
fcchou@stanford.edu
rofuyu@cs.utexas.edu
glemaitre@visor.udg.edu
naoyaiijima@hiroshima-u.ac.jp
ayushgup@iitk.ac.in
joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au
jam7w2@mail.missouri.edu
j.hale09@imperial.ac.uk
tw991@nyu.edu
patel_zeel@iitgn.ac.in
vincent.lostanlen@nyu.edu
stvjc@channing.harvard.edu
ritchieng@u.nus.edu
bansalsi@usc.edu
rbarnes@umn.edu
rrohan@cs.cmu.edu
liutong.zhou@columbia.edu
mdh386@nyu.edu
mlf419@nyu.edu
shreyave@usc.edu
jin.siy@northeastern.edu
samuel_ainsworth@brown.edu
cwijes1@lsu.edu
wadawson@ucdavis.edu
xinyuliu@umich.edu
rz258@cornell.edu
daniel.mallia21@myhunter.cuny.edu
argriffi@ncsu.edu
filipj@umich.edu
kms15@case.edu
sam.dixon@berkeley.edu
khong008@e.ntu.edu.sg
jnelso11@gmu.edu
jclawton@umich.edu
jaehyunahn@sogang.ac.kr
ijpulidos@unal.edu.co
gstupp@scripps.edu
justhube@umich.edu
noamkeidar@campus.technion.ac.il
nityamd@nyu.edu
css459@nyu.edu
alyee@ucsd.edu
andersk@mit.edu
dhanus@mit.edu
coreylevinson@uchicago.edu
cailean.carter@quadram.ac.uk
bral4884@colorado.edu
dschult@colgate.edu
dpwe@ee.columbia.edu
dylan.cashman@tufts.edu
pawelsendyk@berkeley.edu
qzhang90@gatech.edu
mhaberla@calpoly.edu
saketk@student.unimelb.edu.au
eunjikim@dm.snu.ac.kr
erinrhof@uw.edu
ksivaman@purdue.edu
garmstrong@ucsd.edu
konstantin.shmelkov@polytechnique.edu
e175774@ie.u-ryukyu.ac.jp
hermidal@cs.umd.edu
jbearer@hmc.edu
jmarin@csail.mit.edu
Repository Activity:
Repository Owner:
scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
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+2840
Educational commit emails
142 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution -
+6
Science terms in README
3 scientific terms found in README
Penalties:
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.3389/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
10.1371/journal.pcbi.1009021
MiMeNet: Exploring microbiome-metabolome relationships using neural networksCited by: 33
Author(s): Derek Reiman, Brian T. Layden, Yang Dai
Software Mentions: 5
Published: over 5 years ago
10.1038/s41598-018-35682-z
MSIpred: a python package for tumor microsatellite instability classification from tumor mutation annotation data using a support vector machineCited by: 39
Author(s): Chen Wang, Chun Liang
Software Mentions: 5
Published: over 7 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: over 6 years ago
10.1038/s41598-018-32377-3
A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine LearningCited by: 2
Author(s): Nana Wang, Xi Huang, Yi Rao, Jing Xiao, Junqing Lu, Nian Wang, Cui Li
Software Mentions: 5
Published: over 7 years ago
10.1038/s41598-017-17858-1
Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer DiagnosisCited by: 38
Author(s): Adityanarayanan Radhakrishnan, Karthik Damodaran, Ali C. Soylemezoglu, Caroline Uhler, G. V. Shivashankar
Software Mentions: 5
Published: over 8 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: over 5 years ago
10.1098/rstb.2020.0241
Phylogenetic signal in the vocalizations of vocal learning and vocal non-learning birdsCited by: 10
Author(s): József Arató, W. Tecumseh Fitch
Software Mentions: 5
Published: almost 5 years ago
10.1038/sdata.2015.55
A multi-source dataset of urban life in the city of Milan and the Province of TrentinoCited by: 203
Author(s): Gianni Barlacchi, Marco De Nadai, R. Larcher, Antonio Casella, Cristiana Chitic, Giovanni Luca Torrisi, Fabrizio Antonelli, Alessandro Vespignani, Alex Pentland, Bruno Lepri
Software Mentions: 5
Published: almost 11 years ago
10.7717/peerj.9235
Bacterial communities associated with cell phones and shoesCited by: 5
Author(s): David A. Coil, Russell Y. Neches, Jenna M. Lang, Guillaume Jospin, Wendy E. Brown, Darlene Cavalier, Jarrad Hampton-Marcell, Jack A. Gilbert, Jonathan A. Eisen
Software Mentions: 5
Published: about 6 years ago
10.7717/peerj-cs.533
AndroAnalyzer: android malicious software detection based on deep learningCited by: 13
Author(s): Recep Sinan Arslan
Software Mentions: 5
Published: over 5 years ago
10.1038/s41597-021-00936-5
Database of ab initio L-edge X-ray absorption near edge structureCited by: 14
Author(s): Yiming Chen, Chi Chen, Zheng Chen, Shyam Dwaraknath, Matthew K. Horton, Jordi Cabana, J. J. Rehr, John Vinson, Alan Dozier, J. J. Kas, Kristin A. Persson, Shyue Ping Ong
Software Mentions: 5
Published: about 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
10.1186/1471-2164-15-76
Combinatorial epigenetic patterns as quantitative predictors of chromatin biologyCited by: 16
Author(s): Marcin Cieślik, Stefan Bekiranov
Software Mentions: 5
Published: over 12 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: over 5 years ago
10.1371/journal.pone.0236827
Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processingCited by: 12
Author(s): Mohit Pandey, Zhuoran Xu, Evan Sholle, Gabriel Maliakal, Gurpreet Singh, Zahra Fatima, Daria Larine, Benjamin C. Lee, Jing Wang, Alexander R. van Rosendael, Leslee J. Shaw, James K. Min, Subhi J. Al’Aref
Software Mentions: 5
Published: about 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
10.7717/peerj.3035
BinSanity: unsupervised clustering of environmental microbial assemblies using coverage and affinity propagationCited by: 132
Author(s): Elaina D. Graham, John F. Heidelberg, Benjamin J. Tully
Software Mentions: 5
Published: over 9 years ago
10.7717/peerj.8871
Data-driven classification of the certainty of scholarly assertionsCited by: 4
Author(s): Mario Prieto, Helena F. Deus, Anita de Waard, Erik Schultes, Beatriz García-Jiménez, Mark D. Wilkinson
Software Mentions: 5
Published: over 6 years ago
10.7717/peerj.6559
Estimating probabilistic context-free grammars for proteins using contact map constraintsCited by: 7
Author(s): Witold Dyrka, Mateusz Pyzik, F Coste, Hugo Talibart
Software Mentions: 5
Published: over 7 years ago
10.7717/peerj.9654
Identification of DNA methylation patterns and biomarkers for clear-cell renal cell carcinoma by multi-omics data analysisCited by: 5
Author(s): Pengfei Liu, Weidong Tian
Software Mentions: 5
Published: about 6 years ago
10.1371/journal.pone.0201263
The mRNA cap methyltransferase gene TbCMT1 is not essential in vitro but is a virulence factor in vivo for bloodstream form Trypanosoma bruceiCited by: 2
Author(s): Anna Kelner, Michele Tinti, Maria Lucia S. Güther, Bernardo J. Foth, Lia Chappell, Matthew Berriman, Victoria H. Cowling, Michael A. J. Ferguson
Software Mentions: 5
Published: about 8 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/s13321-020-00420-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
10.1155/2021/5522729
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/s12885-021-08645-3
Gene-associated methylation status of ST14 as a predictor of survival and hormone receptor positivity in breast CancerCited by: 3
Author(s): Yang-Hong Dai, Ying-Fu Wang, Po-Chien Shen, Cheng‐Hsiang Lo, Juxiang Yang, Chun‐Shu Lin, Hsing‐Lung Chao, Weimin Huang
Software Mentions: 5
Published: almost 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
10.1038/s41598-019-38791-5
Automated behavioural analysis reveals the basic behavioural repertoire of the urochordate Ciona intestinalisCited by: 25
Author(s): Jerneja Rudolf, Daniel Dondorp, Louise Canon, Sonia Tieo, Marios Chatzigeorgiou
Software Mentions: 5
Published: over 7 years ago
10.1371/journal.pone.0144820
CloudForest: A Scalable and Efficient Random Forest Implementation for Biological DataCited by: 2
Author(s): Ryan Bressler, Richard Kreisberg, Brady Bernard, John E. Niederhuber, Joseph G. Vockley, Ilya Shmulevich, Theo Knijnenburg
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
10.1371/journal.pone.0246396
High SARS-CoV-2 load in the nasopharynx of patients with a mild form of COVID-19 is associated with clinical deterioration regardless of the hydroxychloroquine administrationCited by: 4
Author(s): Alexey A. Komissarov, Ivan Molodtsov, O. Ivanova, Elena Maryukhnich, Svetlana S. Kudryavtseva, А. И. Мазус, E. L. Nikonov, Elena Vasilieva
Software Mentions: 5
Published: over 5 years ago
10.1186/s12859-020-3425-x
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry imagesCited by: 26
Author(s): Katja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, Theodore Alexandrov
Software Mentions: 5
Published: over 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
10.3390/nu12082308
Plasma Metabolites Related to Peripheral and Hepatic Insulin Sensitivity Are Not Directly Linked to Gut Microbiota CompositionCited by: 6
Author(s): Annefleur M. Koopen, Nicolien C. de Clercq, Moritz V. Warmbrunn, Hilde Herrema, Mark Davids, Pieter F. de Groot, Ruud S. Kootte, Kristien E. Bouter, Max Nieuwdorp, Albert K. Groen, Andrei Prodan
Software Mentions: 5
Published: about 6 years ago
10.3389/fonc.2020.531476
Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion AssessmentCited by: 11
Author(s): Hao Wen, Jing Gong, Shengping Wang, Hui Zhu, Bin Zhao, Weijun Peng
Software Mentions: 5
Published: almost 6 years ago
10.1371/journal.pcbi.1007794
Scedar: A scalable Python package for single-cell RNA-seq exploratory data analysisCited by: 10
Author(s): Yuanchao Zhang, Man S. Kim, Erin R. Reichenberger, Benjamin Stear, Deanne Taylor
Software Mentions: 5
Published: over 6 years ago
10.1186/s12974-019-1500-x
Contribution of LTi and TH17 cells to B cell aggregate formation in the central nervous system in a mouse model of multiple sclerosisCited by: 18
Author(s): Verena Schropp, Jörn Rohde, Damiano M. Rovituso, Samir Jabari, Richa Bharti, Stefanie Küerten
Software Mentions: 5
Published: about 7 years ago
10.3389/fnut.2020.577923
A Machine Learning Based Dose Prediction of Lutein Supplements for Individuals With Eye FatigueCited by: 4
Author(s): Juntao Kan, Ao Li, Hong Zou, Liang Chen, Jun Du
Software Mentions: 5
Published: almost 6 years ago
10.2196/13822
Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation StudyCited by: 76
Author(s): Qandeel Tariq, Scott L. Fleming, Jessey Schwartz, Kaitlyn Dunlap, Conor K. Corbin, Peter Washington, Haik Kalantarian, Naila Zaman Khan, Gary L. Darmstadt, Dennis P. Wall
Software Mentions: 5
Published: over 7 years ago
10.2196/15371
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation StudyCited by: 21
Author(s): Derek Howard, Marta M. Maslej, Justin Lee, Jacob Ritchie, Geoffrey Woollard, Leon French
Software Mentions: 5
Published: over 6 years ago
10.21105/joss.00934
q2-sample-classifier: machine-learning tools for microbiome classification and regressionCited by: 105
Author(s): Nicholas A. Bokulich, Matthew R. Dillon, Evan Bolyen, Benjamin Kaehler, Gavin A. Huttley, J. Gregory Caporaso
Software Mentions: 5
Published: almost 8 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.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: over 7 years ago
10.3389/fonc.2021.604584
Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot StudyCited by: 13
Author(s): Chi Wah Wong, Susan E. Yost, Jin Sung Lee, John D. Gillece, Megan Folkerts, Lauren Reining, Sarah K. Highlander, Zahra Eftekhari, Joanne Mortimer, Yuan Yuan
Software Mentions: 5
Published: over 5 years ago
10.3390/jcdd8040044
Predicting Long-Term Mortality in TAVI Patients Using Machine Learning TechniquesCited by: 12
Author(s): Marco Penso, Mauro Pepi, Laura Fusini, Manuela Muratori, C. Claudia, Valentina Mantegazza, Paola Gripari, Sarah Ali, Franco Fabbiocchi, Antonio L. Bartorelli, Enrico G. Caiani, Gloria Tamborini
Software Mentions: 5
Published: over 5 years ago
10.18632/oncotarget.23748
Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of <i>COX7A1</i> in embryonic and cancer cellsCited by: 27
Author(s): Michael West, Ivan Labat, Hal Sternberg, Dana Larocca, Igor O. Nasonkin, Karen Chapman, Ratnesh Singh, Eugene Makarev, Alex Aliper, Andrey Kazennov, Andrey Alekseenko, Nikolai Shuvalov, Evgenia Cheskidova, Aleksandr Alekseev, Artemov Av, Evgeny Putin, Polina Mamoshina, Nikita Pryanichnikov, Jacob Larocca, Karen A. F. Copeland, Evgeny Izumchenko, Mikhail Korzinkin, Alex Zhavoronkov
Software Mentions: 5
Published: over 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: about 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
10.3390/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: almost 6 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
10.3389/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.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: almost 5 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
10.1186/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
10.3389/fimmu.2018.02059
A Distinct Esophageal mRNA Pattern Identifies Eosinophilic Esophagitis Patients With Food ImpactionsCited by: 8
Author(s): Benjamin F. Sallis, Utkucan Acar, Kelsey Hawthorne, Stephen Babcock, Cynthia Kanagaratham, Jeffrey D. Goldsmith, Rachel Rosen, Jon A. Vanderhoof, Samuel Nurko, Edda Fiebiger
Software Mentions: 5
Published: almost 8 years ago
10.7554/eLife.69068
Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiologyCited by: 26
Author(s): Joshua H. Siegle, Peter Ledochowitsch, Xiaoxuan Jia, Daniel Millman, Gabriel Koch Ocker, Shiella Caldejon, Linzy Casal, Andy Cho, Daniel J. Denman, Séverine Durand, Peter A. Groblewski, Gregg Heller, India Kato, Sara Kivikas, Jérôme Lecoq, Chelsea Nayan, Kiet Ngo, Philip R. Nicovich, Kat North, Tamina K Ramirez, Jackie Swapp, Xana Waughman, Ali Williford, Shawn R. Olsen, Christof Koch, Michael A. Buice, Saskia E. J. de Vries
Software Mentions: 5
Published: about 5 years ago
10.1186/s12918-018-0547-0
BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement dataCited by: 30
Author(s): Sungjoon Park, Jung Min Kim, Weon Ho Shin, Sung Won Han, Minji Jeon, Hyun Jin Jang, Ik Soon Jang, Jaewoo Kang
Software Mentions: 5
Published: over 8 years ago
10.3389/fimmu.2019.01716
Enhanced Immunomodulation in Inflammatory Environments Favors Human Cardiac Mesenchymal Stromal-Like Cells for Allogeneic Cell TherapiesCited by: 3
Author(s): Falk Diedrichs, Meaghan Stolk, Karsten Jürchott, Marion Haag, Michael Sittinger, Martina Seifert
Software Mentions: 5
Published: about 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: over 5 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
10.1038/s41598-019-57198-w
Monitoring canid scent marking in space and time using a biologging and machine learning approachCited by: 8
Author(s): Owen R. Bidder, Agustina di Virgilio, J. F. Hunter, Alex McInturff, Kaitlyn M. Gaynor, Alison M. Smith, Janelle Dorcy, Frank Rosell
Software Mentions: 5
Published: over 6 years ago
10.1186/s40360-018-0282-6
eToxPred: a machine learning-based approach to estimate the toxicity of drug candidatesCited by: 77
Author(s): Limeng Pu, Misagh Naderi, Tairan Liu, Hsiao-Chun Wu, Supratik Mukhopadhyay, Michał Bryliński
Software Mentions: 4
Published: over 7 years ago
10.2196/19069
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation StudyCited by: 8
Author(s): Xiaorong Zhong, Ting Luo, Ling Deng, Pei Liu, Kejia Hu, Donghao Lü, Dan Zheng, Chunying Luo, Yuxin Xie, Jiayuan Li, Ping He, Tianjie Pu, Feng Ye, Hong Bu, Bo Fu, Hong Zheng
Software Mentions: 4
Published: almost 6 years ago
10.2196/17364
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm DevelopmentCited by: 25
Author(s): Can Hou, Xiaorong Zhong, Ping He, Bin Xu, Sha Diao, Yi Fang, Hong Zheng, Jiayuan Li
Software Mentions: 4
Published: about 6 years ago
10.1371/journal.pcbi.1006520
Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysisCited by: 13
Author(s): Tycho Bismeijer, Sander Canisius, Lodewyk Wessels
Software Mentions: 4
Published: almost 8 years ago
10.1155/2021/6668985
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19Cited by: 20
Author(s): Nishant Jha, Deepak Prashar, Mamoon Rashid, Mohammad Shafiq, Razaullah Khan, Catalin I. Pruncu, Shams Tabrez Siddiqui, Manindra Kumar
Software Mentions: 4
Published: about 5 years ago
10.1186/s12866-018-1341-2
The murine vaginal microbiota and its perturbation by the human pathogen group B StreptococcusCited by: 46
Author(s): Alison Vrbanac, Angelica M. Riestra, Alison Coady, Rob Knight, Victor Nizet, Kathryn A. Patras
Software Mentions: 4
Published: over 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 5 years ago
10.1186/s12874-020-01046-3
Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learningCited by: 33
Author(s): Joshua Levy, A. James O’Malley
Software Mentions: 4
Published: about 6 years ago
10.1186/s12859-020-3427-8
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics dataCited by: 33
Author(s): Aaron Smith, Jonathan R. Walsh, John M. Long, Craig B. Davis, Peter V. Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
Software Mentions: 4
Published: over 6 years ago
10.1186/s12911-020-01331-7
An interpretable risk prediction model for healthcare with pattern attentionCited by: 6
Author(s): Sundreen Asad Kamal, Changchang Yin, Buyue Qian, Ping Zhang
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: almost 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 6 years ago
10.1371/journal.pcbi.1008001
Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolitesCited by: 2
Author(s): Ethan D. Evans, Dai Cl, Siavash Isazadeh, Shinkyu Park, Carlo Ratti, Eric J. Alm
Software Mentions: 4
Published: about 6 years ago
10.3389/fgene.2021.648329
Deep Learning Reveals Key Immunosuppression Genes and Distinct Immunotypes in PeriodontitisCited by: 10
Author(s): Wanchen Ning, Aneesha Acharya, Zhenjie Sun, Anthony Chukwunonso Ogbuehi, Cong Liu, Shiting Hua, Qiyun Ou, Muhui Zeng, Xiangqiong Liu, Yupei Deng, Rainer Haak, Dirk Ziebolz, Gerhard Schmalz, George Pelekos, Yan Wang, Xianda Hu
Software Mentions: 4
Published: over 5 years ago
10.1186/s12859-019-3076-y
DeepEP: a deep learning framework for identifying essential proteinsCited by: 36
Author(s): Min Zeng, Min Li, Fang‐Xiang Wu, Yaohang Li, Yi Pan
Software Mentions: 4
Published: over 6 years ago
10.3389/fgene.2020.618478
ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seqCited by: 7
Author(s): Rita Jui-Hsien Lu, Yen-Ting Liu, Chih-Wei Huang, Ming‐Ren Yen, Chung‐Yen Lin, Pao‐Yang Chen
Software Mentions: 4
Published: over 5 years ago
10.3390/s20174771
Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor NetworksCited by: 4
Author(s): Hyun-Kyu Lim, Minho Cheong, Sungho Kang
Software Mentions: 4
Published: almost 6 years ago
10.1107/S2052252520008830
Machine learning deciphers structural features of RNA duplexes measured with solution X-ray scatteringCited by: 11
Author(s): Yen-Lin Chen, Lois Pollack
Software Mentions: 4
Published: about 6 years ago
10.1186/s12859-021-04147-y
Systematic interrogation of mutation groupings reveals divergent downstream expression programs within key cancer genesCited by: 1
Author(s): Michal R. Grzadkowski, Hannah D. Holly, Julia Somers, Emek Demir
Software Mentions: 4
Published: over 5 years ago
10.1186/s12911-018-0679-6
A decision support system to follow up and diagnose primary headache patients using semantically enriched dataCited by: 20
Author(s): Gilles Vandewiele, Femke De Backere, Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens, Sofie Van Hoecke, Vincent Keereman, Koen Paemeleire, Femke Ongenae, Filip De Turck
Software Mentions: 4
Published: almost 8 years ago
10.3390/s20092594
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep LearningCited by: 21
Author(s): Delaram Jarchi, Javier Andreu-Pérez, Mehrin Kiani, Oldřich Vyšata, Jiří Kuchyňka, Aleš Procházka, Saeid Sanei
Software Mentions: 4
Published: over 6 years ago
10.3389/fncom.2018.00056
Modern Machine Learning as a Benchmark for Fitting Neural ResponsesCited by: 52
Author(s): Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad Kording
Software Mentions: 4
Published: about 8 years ago
10.3389/fncom.2020.580632
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and BrainsCited by: 11
Author(s): Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Zonglei Zhen, Jia Liu
Software Mentions: 4
Published: over 5 years ago
10.1186/s12911-016-0306-3
Temporal bone radiology report classification using open source machine learning and natural langue processing librariesCited by: 15
Author(s): Aaron J. Masino, Robert W. Grundmeier, Jeffrey W. Pennington, John A. Germiller, E. Bryan Crenshaw
Software Mentions: 4
Published: about 10 years ago
10.1186/s12911-019-0805-0
Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health recordsCited by: 54
Author(s): Maria Pikoula, Jennifer K Quint, Francis Nissen, Harry Hemingway, Liam Smeeth, Spiros Denaxas
Software Mentions: 4
Published: over 7 years ago
10.3389/fgene.2019.01182
Graph Embedding Deep Learning Guides Microbial Biomarkers' IdentificationCited by: 19
Author(s): Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
Software Mentions: 4
Published: over 6 years ago
10.3390/s20092504
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar WeedsCited by: 9
Author(s): Marlies Lauwers, Benny De Cauwer, David Nuyttens, Simon Cool, Jan Pieters
Software Mentions: 4
Published: over 6 years ago
10.3389/fncel.2021.668230
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO MouseCited by: 4
Author(s): Alexandr Pak, Samuel T. Kissinger, Alexander A. Chubykin
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pcbi.1007348
Learning unsupervised feature representations for single cell microscopy images with paired cell inpaintingCited by: 64
Author(s): Alex X. Lu, Oren Kraus, Sam Cooper, Alan M. Moses
Software Mentions: 4
Published: almost 7 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: over 9 years ago
10.1186/s12859-020-03682-4
NEDD: a network embedding based method for predicting drug-disease associationsCited by: 22
Author(s): Renyi Zhou, Zhangli Lu, Huimin Luo, Xu Ju, Min Zeng, Min Li
Software Mentions: 4
Published: almost 6 years ago
10.3389/fcimb.2021.663068
Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral CarcinogenesisCited by: 7
Author(s): Jiung Wen Chen, Jer Horng Wu, Wei Fan Chiang, Yuh Ling Chen, Wei Wu, Li-Wha Wu
Software Mentions: 4
Published: almost 5 years ago
10.1371/journal.pcbi.1008219
A simple, scalable approach to building a cross-platform transcriptome atlasCited by: 12
Author(s): Paul W. Angel, Nadia Rajab, Yidi Deng, Chris M. Pacheco, Tyrone Chen, Kim‐Anh Lê Cao, Jarny Choi, Christine A. Wells
Software Mentions: 4
Published: almost 6 years ago
10.3389/fgene.2020.00513
Estimating Conformational Traits in Dairy Cattle With DeepAPS: A Two-Step Deep Learning Automated Phenotyping and Segmentation ApproachCited by: 13
Author(s): Jessica Nye, Laura M. Zingaretti, Miguel Pérez‐Enciso
Software Mentions: 4
Published: about 6 years ago
10.3390/s19245370
Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production SettingsCited by: 35
Author(s): Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert
Software Mentions: 4
Published: over 6 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: about 6 years ago
10.1186/s12859-018-2029-1
Deep learning of mutation-gene-drug relations from the literatureCited by: 36
Author(s): Kyubum Lee, Byounggun Kim, Yong-Hwa Choi, Sunkyu Kim, Weon Ho Shin, Sunwon Lee, Sungjoon Park, Seongsoon Kim, Aik Choon Tan, Jaewoo Kang
Software Mentions: 4
Published: over 8 years ago
10.3389/fbioe.2020.00959
What Has Been Trending in the Research of Polyhydroxyalkanoates? A Systematic ReviewCited by: 25
Author(s): Maciej Guzik, Tomasz Witko, Alexander Steinbüchel, Magdalena Wojnarowska, Mariusz Sołtysik, Sławomir Wawak
Software Mentions: 4
Published: almost 6 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: almost 5 years ago