Projects: pypi: scikit-learn
https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn
A set of python modules for machine learning and data mining
72 versions
Latest release: about 2 years ago
5,918 dependent packages
43,777,417 downloads last month
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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
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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
10.3390/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: over 4 years ago
10.3389/fpsyt.2016.00130
Development and Clinical Evaluation of an mHealth Application for Stress ManagementCited by: 26
Author(s): Brent Winslow, George L. Chadderdon, Sara Dechmerowski, David Jones, Solomon Kalkstein, Jennifer L. Greene, Philip Gehrman
Software Mentions: 5
Published: over 9 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: almost 10 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 4 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 5 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: almost 5 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: about 5 years ago
10.3390/nu13093289
Analyzing Type 2 Diabetes Associations with the Gut Microbiome in Individuals from Two Ethnic Backgrounds Living in the Same Geographic AreaCited by: 13
Author(s): Manon Balvers, Mélanie Deschasaux, Bert‐Jan H. van den Born, Koos Zwinderman, Max Nieuwdorp, Evgeni Levin
Software Mentions: 5
Published: about 4 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 5 years ago
10.3390/ijerph18189912
Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook ReviewsCited by: 12
Author(s): Afiq Izzudin A. Rahim, Mohd Ismail Ibrahim, Kamarul Imran Musa, Sook-Ling Chua, Najib Majdi Yaacob
Software Mentions: 5
Published: about 4 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: over 4 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 4 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 8 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: over 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 9 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: about 5 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 7 years ago
10.2196/24073
A Natural Language Processing–Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case StudyCited by: 14
Author(s): Raffaello Furlan, Mauro Gatti, Roberto Menè, Dana Shiffer, Chiara Marchiori, Alessandro Giaj Levra, Vincenzo Saturnino, Enrico Brunetta, Franca Dipaola
Software Mentions: 5
Published: over 4 years ago
10.1093/bioinformatics/btv593
Automatic generation of bioinformatics tools for predicting protein–ligand binding sitesCited by: 12
Author(s): Yusuke Komiyama, Masaki Banno, Kokoro Ueki, Gul Saad, Kentaro Shimizu
Software Mentions: 5
Published: almost 10 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 7 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 4 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 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: about 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: about 5 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 5 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 4 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 4 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: about 10 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 4 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 4 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 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: almost 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 4 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 5 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 5 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 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 8 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: about 5 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 5 years ago
10.3389/fgene.2019.01387
Analysis of Single-Cell Gene Pair Coexpression Landscapes by Stochastic Kinetic Modeling Reveals Gene-Pair Interactions in DevelopmentCited by: 7
Author(s): Cameron P. Gallivan, Honglei Ren, Elizabeth L. Read
Software Mentions: 5
Published: almost 6 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: almost 7 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 6 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 4 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: over 5 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 4 years ago
10.3389/fbioe.2020.00808
Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% AccuracyCited by: 6
Author(s): Keshav Aditya R Premkumar, Ramit Bharanikumar, Ashok Palaniappan
Software Mentions: 5
Published: over 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 4 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 4 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: almost 8 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: over 6 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 4 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 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 8 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 5 years ago
10.3389/fcell.2020.601145
Spontaneous Membrane Nanodomain Formation in the Absence or Presence of the Neurotransmitter SerotoninCited by: 11
Author(s): Anna Bochicchio, Astrid F. Brandner, Oskar Engberg, Daniel Huster, Rainer A. Böckmann
Software Mentions: 5
Published: almost 5 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 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: almost 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 7 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: about 7 years ago
10.2196/15293
Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based ApproachCited by: 24
Author(s): Hannah Yao, Sina Rashidian, Xinyu Dong, Hongyi Duanmu, Richard N. Rosenthal, Fusheng Wang
Software Mentions: 5
Published: almost 5 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: over 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: about 4 years ago
10.1021/acs.jctc.1c00159
Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data setsCited by: 18
Author(s): Alexander van Teijlingen, Tell Tuttle
Software Mentions: 4
Published: over 4 years ago
10.1186/s13321-018-0313-8
Chemlistem: chemical named entity recognition using recurrent neural networksCited by: 27
Author(s): Peter Corbett, John P. Boyle
Software Mentions: 4
Published: almost 7 years ago
10.3389/fncom.2018.00056
Modern Machine Learning as a Benchmark for Fitting Neural ResponsesCited by: 52
Author(s): Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad Kording
Software Mentions: 4
Published: over 7 years ago
10.1186/s12967-020-02400-1
Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signatureCited by: 11
Author(s): German Osmak, Natalia Baulina, Philipp Koshkin, О. О. Фаворова
Software Mentions: 4
Published: over 5 years ago
10.1007/s10278-017-9965-6
Toolkits and Libraries for Deep LearningCited by: 110
Author(s): Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L. Kline, Kenneth A. Philbrick
Software Mentions: 4
Published: over 8 years ago
10.1186/s13321-021-00513-3
Deep learning integration of molecular and interactome data for protein–compound interaction predictionCited by: 4
Author(s): Narumi Watanabe, Yuuto Ohnuki, Yasubumi Sakakibara
Software Mentions: 4
Published: over 4 years ago
10.3389/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: almost 5 years ago
10.3389/fgene.2019.01182
Graph Embedding Deep Learning Guides Microbial Biomarkers' IdentificationCited by: 19
Author(s): Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
Software Mentions: 4
Published: 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: over 5 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: almost 5 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 4 years ago
10.3389/fgene.2018.00682
Embedding of Genes Using Cancer Gene Expression Data: Biological Relevance and Potential Application on Biomarker DiscoveryCited by: 26
Author(s): Chi Tung Choy, Chi Hang Wong, Stephen L. Chan
Software Mentions: 4
Published: almost 7 years ago
10.3390/ijms22115866
LEDGF/p75 Is Required for an Efficient DNA Damage ResponseCited by: 8
Author(s): Victoria Liedtke, Christian Schröder, Dirk Roggenbuck, Romano Weiss, Ralf Stohwasser, Peter Schierack, Stefan Rödiger, Lysann Schenk
Software Mentions: 4
Published: over 4 years ago
10.3390/ijms22063079
A Novel Position-Specific Encoding Algorithm (SeqPose) of Nucleotide Sequences and Its Application for Detecting EnhancersCited by: 7
Author(s): Xuechen Mu, Yueying Wang, Meiyu Duan, Shuai Liu, Fēi Li, Xiuli Wang, Kai Zhang, Lan Huang, Fengfeng Zhou
Software Mentions: 4
Published: over 4 years ago
10.3389/fnhum.2019.00295
Theories and Methods for Labeling Cognitive Workload: Classification and Transfer LearningCited by: 18
Author(s): Ryan McKendrick, Bradley Feest, Amanda E. Harwood, Brian Falcone
Software Mentions: 4
Published: about 6 years ago
10.3390/ijms21239070
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes IdentificationCited by: 45
Author(s): Nguyen Quoc Khanh Le, Duyen Thi, Truong Nguyen Khanh Hung, Luu Ho Thanh Lam, Chih-Min Lin, Ngan Thi Kim Nguyen
Software Mentions: 4
Published: almost 5 years ago
10.3390/ijms20194833
Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction ReliabilityCited by: 12
Author(s): Anke Wilm, Conrad Stork, Christoph Bauer, Andreas Schepky, Jochen Kühnl, Johannes Kirchmair
Software Mentions: 4
Published: about 6 years ago
10.3389/fimmu.2020.552596
Toward a Better Understanding of Bioassays for the Development of Biopharmaceuticals by Exploring the Structure-Antibody-Dependent Cellular Cytotoxicity Relationship in Human Primary CellsCited by: 2
Author(s): Sébastien Wieckowski, Cécile Avenal, Arturo V. Orjalo, Daniel Gygax, Florian Cymer
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.40162
Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypesCited by: 8
Author(s): Felix Zhou, Carlos Ruiz‐Puig, Richard Owen, Michael J. White, Jens Rittscher, Xin Lü
Software Mentions: 4
Published: over 6 years ago
10.3389/fmed.2020.00177
Effects of Label Noise on Deep Learning-Based Skin Cancer ClassificationCited by: 31
Author(s): Achim Hekler, Jakob Nikolas Kather, Eva Krieghoff-Henning, Jochen Utikal, Friedegund Meier, Frank Friedrich Gellrich, Julius Upmeier zu Belzen, Lars E. French, Justin Gabriel Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Carola Berking, Markus V. Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Benjamin Izar, Roman C. Maron, Max Schmitt, Stefan Fröhling, Daniel B. Lipka, Titus J. Brinker
Software Mentions: 4
Published: over 5 years ago
10.3390/jpm11080686
JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s DiseaseCited by: 5
Author(s): Sehwan Moon, Hyunju Lee
Software Mentions: 4
Published: over 4 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: about 5 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: about 4 years ago
10.7554/eLife.62865
Developmental hourglass and heterochronic shifts in fin and limb developmentCited by: 7
Author(s): Koh Onimaru, Kaori Tatsumi, Chiharu Tanegashima, Mitsutaka Kadota, Osamu Nishimura, Shigehiro Kuraku
Software Mentions: 4
Published: over 4 years ago
10.7554/eLife.44889
Identification of compounds that rescue otic and myelination defects in the zebrafish adgrg6 (gpr126) mutantCited by: 19
Author(s): Elvira Diamantopoulou, Sarah Baxendale, Antonio de la Vega de León, Anzar Asad, Celia J. Holdsworth, Leïla Abbas, Valerie J. Gillet, Giselle R. Wiggin, Tanya T. Whitfield
Software Mentions: 4
Published: over 6 years ago
10.7554/eLife.56261
Training deep neural density estimators to identify mechanistic models of neural dynamicsCited by: 99
Author(s): Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, William F Podlaski, Sara A. Haddad, Tim P. Vogels, David S. Greenberg, Jakob H. Macke
Software Mentions: 4
Published: about 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: about 5 years ago
10.1109/tbdata.2020.3035935
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical LiteratureCited by: 47
Author(s): Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
Software Mentions: 4
Published: over 4 years ago
10.3390/insects12020097
Anopheles gambiae Genome Conservation as a Resource for Rational Gene Drive Target Site SelectionCited by: 8
Author(s): Nace Kranjc, Andrea Crisanti, Tony Nolan, Federica Bernardini
Software Mentions: 4
Published: almost 5 years ago
10.3390/s20133645
OpCode-Level Function Call Graph Based Android Malware Classification Using Deep LearningCited by: 24
Author(s): Weina Niu, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang, Ting Li
Software Mentions: 4
Published: over 5 years ago
10.18632/oncotarget.27632
Validated limited gene predictor for cervical cancer lymph node metastasesCited by: 1
Author(s): Joshua Bloomstein, Rie von Eyben, Avis Chan, Erinn B. Rankin, Daniel R. Fregoso, Jing Wang-Chiang, Lisa Lee, Li Xie, Shannon MacLaughlan David, Henning Stehr, Mohammad Shahrokh Esfahani, Amato J. Giaccia, Elizabeth A. Kidd
Software Mentions: 4
Published: over 5 years ago
10.3389/fncel.2021.668230
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO MouseCited by: 4
Author(s): Alexandr Pak, Samuel T. Kissinger, Alexander A. Chubykin
Software Mentions: 4
Published: over 4 years ago
10.1001/jamanetworkopen.2019.10399
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing MethodsCited by: 5
Author(s): Meliha Skaljic, Ihsaan Patel, Amelia M. Pellegrini, Víctor M. Castro, Roy H. Perlis, Deborah D. Gordon
Software Mentions: 4
Published: about 6 years ago
10.1523/ENEURO.0378-20.2021
Time Course of Alterations in Adult Spinal Motoneuron Properties in the SOD1(G93A) Mouse Model of ALSCited by: 11
Author(s): Seoan Huh, C. J. Heckman, Marin Manuel
Software Mentions: 4
Published: over 4 years ago
10.3390/s20092504
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar WeedsCited by: 9
Author(s): Marlies Lauwers, Benny De Cauwer, David Nuyttens, Simon Cool, Jan Pieters
Software Mentions: 4
Published: over 5 years ago
10.3390/s20092594
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep LearningCited by: 21
Author(s): Delaram Jarchi, Javier Andreu-Pérez, Mehrin Kiani, Oldřich Vyšata, Jiří Kuchyňka, Aleš Procházka, Saeid Sanei
Software Mentions: 4
Published: over 5 years ago
10.3390/s19245370
Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production SettingsCited by: 35
Author(s): Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert
Software Mentions: 4
Published: almost 6 years ago
10.3390/s17010066
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity RecognitionCited by: 29
Author(s): Yago Sáez, Alejandro Baldominos, Pedro Isasi
Software Mentions: 4
Published: almost 9 years ago