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
10.3389/fphys.2021.644349
Deep Shape Features for Predicting Future Intracranial Aneurysm GrowthCited by: 5
Author(s): Žiga Bizjak, Franjo Pernuš, Žiga Špiclin
Software Mentions: 3
Published: over 5 years ago
10.3390/s19071629
Acoustic Sensor Data Flow for Cultural Heritage Monitoring and SafeguardingCited by: 7
Author(s): Panagiotis Kasnesis, Nicolas-Alexander Tatlas, Stelios Α. Mitilineos, Charalampos Z. Patrikakis, Stelios M. Potirakis
Software Mentions: 3
Published: over 7 years ago
10.3389/fphar.2019.01054
Global Sensitivity Analysis of Ventricular Myocyte Model-Derived Metrics for Proarrhythmic Risk AssessmentCited by: 14
Author(s): Jaimit Parikh, Paolo Di Achille, James Kozloski, Viatcheslav Gurev
Software Mentions: 3
Published: about 7 years ago
10.1371/journal.pone.0237304
A fractal kinetics SI model can explain the dynamics of COVID-19 epidemicsCited by: 13
Author(s): Kosmas Kosmidis, Panos Macheras
Software Mentions: 3
Published: about 6 years ago
10.3389/fphar.2018.00270
Uncovering the Mechanisms of Chinese Herbal Medicine (MaZiRenWan) for Functional Constipation by Focused Network Pharmacology ApproachCited by: 36
Author(s): Tao Huang, Ziwan Ning, Dong-Dong Hu, Man Zhang, Ling Zhao, Chengyuan Lin, Linda L. D. Zhong, Zhijun Yang, Xu Hong, Zhaoxiang Bian
Software Mentions: 3
Published: over 8 years ago
10.3389/fphar.2021.660313
AI-Based Drug Discovery of TKIs Targeting L858R/T790M/C797S-Mutant EGFR in Non-small Cell Lung CancerCited by: 7
Author(s): Gyeong Man Choi, Daegeun Kim, Junehwan Oh
Software Mentions: 3
Published: about 5 years ago
10.1186/s13321-017-0243-x
eTOX ALLIES: an automated pipeLine for linear interaction energy-based simulationsCited by: 7
Author(s): Luigi Capoferri, Marc van Dijk, Ariën S. Rustenburg, Tsjerk A. Wassenaar, Derk P. Kooi, Eko Aditya Rifai, Nico Vermeulen, Daan P. Geerke
Software Mentions: 3
Published: almost 9 years ago
10.1186/s13321-018-0260-4
Maximizing gain in high-throughput screening using conformal predictionCited by: 16
Author(s): Fredrik Svensson, Avid M. Afzal, Ulf Norinder, Andreas Bender
Software Mentions: 3
Published: over 8 years ago
10.1186/s13321-020-00422-x
KnowTox: pipeline and case study for confident prediction of potential toxic effects of compounds in early phases of developmentCited by: 16
Author(s): Andrea Morger, Miriam Mathea, Janosch Achenbach, Antje Wolf, Roland Buesen, Klaus-Juergen Schleifer, Robert Landsiedel, Andrea Volkamer
Software Mentions: 3
Published: over 6 years ago
10.3389/fninf.2013.00012
Toward open sharing of task-based fMRI data: the OpenfMRI projectCited by: 277
Author(s): Russell A. Poldrack, M Deanna, James Mitchell, Tor D. Wager, Anthony D. Wagner, Joseph T. Devlin, Chad Cumba, Oluwasanmi Koyejo, Michael P. Milham
Software Mentions: 3
Published: almost 14 years ago
10.3389/fphar.2019.01690
SAMbinder: A Web Server for Predicting S-Adenosyl-L-Methionine Binding Residues of a Protein From Its Amino Acid SequenceCited by: 3
Author(s): Piyush Agrawal, Gaurav Mishra, Gajendra P. S. Raghava
Software Mentions: 3
Published: over 6 years ago
10.3389/fninf.2016.00049
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to NeuroimagingCited by: 54
Author(s): Natalia Y. Bilenko, Jack L. Gallant
Software Mentions: 3
Published: almost 10 years ago
10.3390/s19071738
Fear Level Classification Based on Emotional Dimensions and Machine Learning TechniquesCited by: 46
Author(s): Oana Bălan, Gabriela Moise, Alin Moldoveanu, Marius Leordeanu, Florica Moldoveanu
Software Mentions: 3
Published: over 7 years ago
10.3389/fonc.2020.00592
A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell CarcinomaCited by: 3
Author(s): Yi Jiang, Wuchao Li, Chencui Huang, Chong Tian, Qi Chen, Xian‐Chun Zeng, Yin Chen, Yi Chen, Yintong Yang, Heng Liu, Yonghua Bo, Chenggong Luo, Yiming Li, Tijiang Zhang, Rongping Wang
Software Mentions: 3
Published: over 6 years ago
10.1186/s13321-020-00479-8
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based modelsCited by: 178
Author(s): Dejun Jiang, Zhenxing Wu, Chang‐Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dong‐Sheng Cao, Jian Wu, Tingjun Hou
Software Mentions: 3
Published: over 5 years ago
10.3390/s18113779
Machine Learning Aided Scheme for Load Balancing in Dense IoT NetworksCited by: 29
Author(s): César Gómez, Abdallah Shami, Xianbin Wang
Software Mentions: 3
Published: almost 8 years ago
10.3389/fonc.2020.598721
Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung AdenocarcinomaCited by: 24
Author(s): Baihua Zhang, Shouliang Qi, Pan Xu, Chen Li, Yu-Dong Yao, Wei Qian, Yubao Guan
Software Mentions: 3
Published: over 5 years ago
10.3390/s18113743
Characterizing Focused Attention and Working Memory Using EEGCited by: 35
Author(s): Zainab Mohamed, Mohamed El Halaby, Tamer Said, Doaa M. Shawky, Ashraf H. Badawi
Software Mentions: 3
Published: almost 8 years ago
10.1371/journal.pone.0209139
Computational framework for targeted high-coverage sequencing based NIPTCited by: 7
Author(s): Hindrek Teder, Priit Paluoja, Kadri Rekker, Andres Salumets, Kaarel Krjutškov, Priit Palta
Software Mentions: 3
Published: about 7 years ago
10.3390/s18082474
Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based SensorsCited by: 21
Author(s): Andreas Ejupi, Carlo Menon
Software Mentions: 3
Published: about 8 years ago
10.7554/eLife.46935
Deep generative models for T cell receptor protein sequencesCited by: 57
Author(s): Kristian Davidsen, Branden J Olson, William S DeWitt, Jean Feng, Elias Harkins, Philip Bradley, F. A. Matsen
Software Mentions: 3
Published: about 7 years ago
10.3389/fneur.2020.578571
Cognitive Processing Impacts High Frequency Intracranial EEG Activity of Human Hippocampus in Patients With Pharmacoresistant Focal EpilepsyCited by: 5
Author(s): Jan Cimbálník, Martin Pail, Petr Klimeš, Vojtech Travnicek, Róbert Román, Adam Vajčner, Milan Brázdil
Software Mentions: 3
Published: almost 6 years ago
10.7554/eLife.51975
Elements of a stochastic 3D prediction engine in larval zebrafish prey captureCited by: 28
Author(s): Andrew D. Bolton, Martin Haesemeyer, Josua Jordi, Ulrich Schaechtle, Feras A. Saad, Vikash K. Mansinghka, Joshua B. Tenenbaum, Florian Engert
Software Mentions: 3
Published: almost 7 years ago
10.7554/eLife.56890
Diverse homeostatic and immunomodulatory roles of immune cells in the developing mouse lung at single cell resolutionCited by: 27
Author(s): Racquel Domingo-Gonzalez, Fabio Zanini, Xibing Che, Min Liu, Robert C. Jones, Michael Swift, Stephen R. Quake, David N. Cornfield, Cristina M. Alvira
Software Mentions: 3
Published: over 6 years ago
10.7554/eLife.52707
The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapiesCited by: 19
Author(s): Jennifer E. L. Diaz, Mehmet Eren Ahsen, Thomas Schaffter, Xintong Chen, Ronald Realubit, Charles Karan, Andrea Califano, Bojan Losic, Gustavo Stolovitzky
Software Mentions: 3
Published: about 6 years ago
10.1017/cts.2020.531
Developing image analysis pipelines of whole-slide images: Pre- and post-processingCited by: 12
Author(s): Byron H. Smith, Meyke Hermsen, Elizabeth R. Lesser, Deepak Ravichandar, Walter K. Kremers
Software Mentions: 3
Published: about 6 years ago
10.1186/s13321-021-00509-z
Flame: an open source framework for model development, hosting, and usage in production environmentsCited by: 8
Author(s): Manuel Pastor, José Carlos Gómez-Tamayo, Ferrán Sanz
Software Mentions: 3
Published: over 5 years ago
10.3389/fonc.2021.621278
Subgroup-Independent Mapping of Renal Cell Carcinoma—Machine Learning Reveals Prognostic Mitochondrial Gene Signature Beyond Histopathologic BoundariesCited by: 30
Author(s): André Marquardt, Antonio Giovanni Solimando, Alexander Kerscher, Max Bittrich, Charis Kalogirou, Hubert Kübler, Andreas Rosenwald, Ralf C. Bargou, Philip Kollmannsberger, Bastian Schilling, Svenja Meierjohann, Markus Krebs
Software Mentions: 3
Published: over 5 years ago
10.3389/fnbot.2018.00086
DeepDynamicHand: A Deep Neural Architecture for Labeling Hand Manipulation Strategies in Video Sources Exploiting Temporal InformationCited by: 3
Author(s): Visar Arapi, Cosimo Della Santina, Davide Bacciu, Matteo Bianchi, Antonio Bicchi
Software Mentions: 3
Published: almost 8 years ago
10.1007/s42001-020-00073-w
Estimation of socioeconomic attributes from location informationCited by: 1
Author(s): Shohei Doi, Takayuki Mizuno, Naoya Fujiwara
Software Mentions: 3
Published: over 6 years ago
10.1371/journal.pone.0256152
Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable resultsCited by: 26
Author(s): Chansik An, Yae Won Park, Sung Soo Ahn, Kyunghwa Han, Hwiyoung Kim, Seung Koo Lee
Software Mentions: 3
Published: about 5 years ago
10.2196/20324
Institution-Specific Machine Learning Models for Prehospital Assessment to Predict Hospital Admission: Prediction Model Development StudyCited by: 10
Author(s): Toru Shirakawa, Tomohiro Sonoo, Kentaro Ogura, Ryo Fujimori, Kozo Hara, Tadahiro Goto, Hideki Hashimoto, Yūji Takahashi, Hiromu Naraba, Kensuke Nakamura
Software Mentions: 3
Published: almost 6 years ago
10.1371/journal.pone.0253023
Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1Cited by: 2
Author(s): John-Jose Nunez, Teyden T. Nguyen, Yihan Zhou, Bo Cao, Raymond T. Ng, Jun Chen, Benício N. Frey, Roumen Milev, Daniel J. Müller, Susan Rotzinger, Cláudio N. Soares, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-021-98387-w
Predicting medication adherence using ensemble learning and deep learning models with large scale healthcare dataCited by: 14
Author(s): Yingqi Gu, Akshay Zalkikar, Mingming Liu, Lara Kelly, Amy R. Hall, Kieran Daly, Tomás E. Ward
Software Mentions: 3
Published: about 5 years ago
10.1371/journal.pone.0166162
Real-Time Pathogen Detection in the Era of Whole-Genome Sequencing and Big Data: Comparison of k-mer and Site-Based Methods for Inferring the Genetic Distances among Tens of Thousands of Salmonella SamplesCited by: 13
Author(s): James B. Pettengill, Arthur W. Pightling, Joseph D. Baugher, Hugh Rand, Errol Strain
Software Mentions: 3
Published: almost 10 years ago
10.3390/jimaging6110115
Detecting Morphing Attacks through Face Geometry FeaturesCited by: 8
Author(s): Stephanie Autherith, Cecilia Pasquini
Software Mentions: 3
Published: almost 6 years ago
10.3390/jcm10092030
A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine LearningCited by: 13
Author(s): Fang-Ying Chiu, Nguyen Quoc Khanh Le, Cheng-Yu Chen
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0167822
On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual RelationshipsCited by: 7
Author(s): Guilherme D. Marmerola, Marina Atsumi Oikawa, Zanoni Dias, Siome Goldenstein, Anderson Rocha
Software Mentions: 3
Published: almost 10 years ago
10.1007/s10827-015-0565-5
Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activityCited by: 41
Author(s): Yury V. Zaytsev, Abigail Morrison, Moritz Deger
Software Mentions: 3
Published: over 11 years ago
10.2196/medinform.8960
Characterizing and Managing Missing Structured Data in Electronic Health Records: Data AnalysisCited by: 100
Author(s): Brett K. Beaulieu‐Jones, Daniel R. Lavage, John W Snyder, Jason H. Moore, Sarah A. Pendergrass, Christopher R. Bauer
Software Mentions: 3
Published: over 8 years ago
10.1371/journal.pone.0247444
Attention based GRU-LSTM for software defect predictionCited by: 12
Author(s): Hafiz Shahbaz Munir, Shengbing Ren, Mubashar Mustafa, Chaudry Naeem Siddique, Shazib Qayyum
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0256858
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia dataCited by: 3
Author(s): Giovanni De Toni, Cristian Consonni, Alberto Montresor
Software Mentions: 3
Published: about 5 years ago
10.3390/jfmk6030060
Accuracy of Measuring Knee Flexion after TKA through Wearable IMU SensorsCited by: 4
Author(s): Ricardo Antunes, Paul Jacob, Andrew J. Meyer, Michael A. Conditt, Martin W. Roche, Matthias Verstraete
Software Mentions: 3
Published: over 5 years ago
10.3389/fnins.2021.691244
MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical PhenotypesCited by: 9
Author(s): Martin Bretzner, Anna K. Bonkhoff, Markus D. Schirmer, Sungmin Hong, Adrian V. Dalca, Kathleen Donahue, Anne‐Katrin Giese, Mark R. Etherton, Pamela M. Rist, Marco Nardin, Rǎzvan V. Marinescu, Clinton Wang, Robert W Regenhardt, Xavier Leclerc, Renaud Lopes, Oscar Benavente, John W. Cole, Amanda Donatti, Christoph J. Griessenauer, Laura Heitsch, Lukas Holmegaard, Katarina Jood, Jordi Jiménez‐Conde, Steven J. Kittner, Robin Lemmens, Christopher Levi, Patrick F. McArdle, Caitrin W. McDonough, James F. Meschia, Chia‐Ling Phuah, Arndt Rolfs, Stefan Ropele, Jonathan Rosand, Jaume Roquer, Tatjana Rundek, Ralph L. Sacco, Reinhold Schmidt, Pankaj Sharma, Agnieszka Słowik, Alessandro Sousa, Tara M. Stanne, Daniel Strbian, Turgut Tatlısumak, Vincent Thijs, Achala Vagal, Johan Wassélius, Daniel Woo, Ona Wu, Ramin Zand, Bradford B. Worrall, Jane Maguire, Arne Lindgren, Christina Jern, Polina Golland, Grégory Kuchcinski, Natalia S. Rost
Software Mentions: 3
Published: about 5 years ago
10.1371/journal.pone.0195798
Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network studyCited by: 105
Author(s): Paul Blanc-Durand, Axel Van Der Gucht, Niklaus Schaefer, Emmanuel Itti, John O. Prior
Software Mentions: 3
Published: over 8 years ago
10.1038/s41598-021-97257-9
Microglial ASD-related genes are involved in oligodendrocyte differentiationCited by: 4
Author(s): Yuta Takanezawa, Shihori Tanabe, Daiki Kato, Rie Ozeki, Masayo Komoda, Tatsunori Suzuki, Hiroko Baba, Rieko Muramatsu
Software Mentions: 3
Published: about 5 years ago
10.1371/journal.pone.0196615
An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysisCited by: 73
Author(s): Unseok Lee, Sungyul Chang, Gian Anantrio Putra, Hyoungseok Kim, Dong Hwan Kim
Software Mentions: 3
Published: over 8 years ago
10.1371/journal.pone.0202214
Predictive pollen-based biome modeling using machine learningCited by: 11
Author(s): Magdalena K. Sobol, Sarah A. Finkelstein
Software Mentions: 3
Published: about 8 years ago
10.2196/30115
Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning ApproachCited by: 1
Author(s): Wenxiu Xie, Meng Ji, Yanmeng Liu, Tianyong Hao, Chee W. Chow
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-021-97007-x
Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiomeCited by: 7
Author(s): Petri Vänni, Mysore V. Tejesvi, Sofia Ainonen, Marjo Renko, Katja Korpela, Jarmo A. Salo, Niko Paalanne, Terhi Tapiainen
Software Mentions: 3
Published: about 5 years ago
10.3390/ijerph17051510
Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter’s Users: An Exploratory Content- and Topology-Based AnalysisCited by: 11
Author(s): Cristina Crocamo, Marco Viviani, Francesco Bartoli, Giuseppe Carrà, Gabriella Pasi
Software Mentions: 3
Published: over 6 years ago
10.7554/eLife.54055
Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkersCited by: 60
Author(s): Denis A. Engemann, Oleh Kozynets, David Sabbagh, G Lemaître, Gaël Varoquaux, Franziskus Liem, Alexandre Gramfort
Software Mentions: 3
Published: over 6 years ago
10.1038/s41598-021-96674-0
Exploring deep learning capabilities for surge predictions in coastal areasCited by: 19
Author(s): Timothy Tiggeloven, Anaïs Couasnon, Chiem van Straaten, Sanne Muis, Philip J. Ward
Software Mentions: 3
Published: about 5 years ago
10.1371/journal.pone.0245026
Estimating pulse wave velocity from the radial pressure wave using machine learning algorithmsCited by: 17
Author(s): Wen Jin, Philip Chowienczyk, Jordi Alastruey
Software Mentions: 3
Published: over 5 years ago
10.1001/jamanetworkopen.2019.19396
Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial FibrillationCited by: 66
Author(s): Premanand Tiwari, Kathryn Colborn, Derek E. Smith, Fuyong Xing, Debashis Ghosh, Michael Rosenberg
Software Mentions: 3
Published: over 6 years ago
10.1172/jci.insight.145704
Identification of a series of hair-cell MET channel blockers that protect against aminoglycoside-induced ototoxicityCited by: 21
Author(s): Emma J. Kenyon, Nerissa K. Kirkwood, Siân R. Kitcher, Richard J. Goodyear, Marco Derudas, Daire Cantillon, Sarah Baxendale, Antonio de la Vega de León, Virginia N. Mahieu, Richard T. Osgood, Charlotte Donald Wilson, James C. Bull, Simon J. Waddell, Tanya T. Whitfield, Simon E. Ward, Corné J. Kros, Guy P. Richardson
Software Mentions: 3
Published: over 5 years ago
10.3390/s20174773
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis ProductsCited by: 3
Author(s): Xiao‐Wei Chen, Yunjun Yao, Yufu Li, Yuhu Zhang, Kun Jia, Xiaolin Zhang, Ke Shang, Junming Yang, Xiangyi Bei, Xihong Guo
Software Mentions: 3
Published: about 6 years ago
10.1371/journal.pone.0201264
Effective injury forecasting in soccer with GPS training data and machine learningCited by: 142
Author(s): Alessio Rossi, Luca Pappalardo, Paolo Cintia, F. Marcello Iaia, Javier Fernández, Daniel Medina
Software Mentions: 3
Published: about 8 years ago
10.1186/s13059-017-1186-2
Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatmentCited by: 232
Author(s): Tina Wang, Brian Tsui, Jason F. Kreisberg, Neil Robertson, Andrew M. Gross, Michael Yu, Hannah Carter, Holly M. Brown–Borg, Peter D. Adams, Trey Ideker
Software Mentions: 3
Published: over 9 years ago
10.1186/s12883-020-01672-w
Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosisCited by: 43
Author(s): J. Yperman, Thijs Becker, Dirk Valkenborg, Veronica Adriana Popescu, Niels Hellings, Bart Van Wijmeersch, Liesbet M. Peeters
Software Mentions: 3
Published: over 6 years ago
10.1186/s12859-017-1561-8
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approachCited by: 153
Author(s): Xiaoyong Pan, Hong‐Bin Shen
Software Mentions: 3
Published: over 9 years ago
10.1128/JVI.03614-14
Genome Diversity of Epstein-Barr Virus from Multiple Tumor Types and Normal InfectionCited by: 193
Author(s): Anne L. Palser, Nicholas Grayson, Rob White, Craig Corton, Samantha Correia, Mohammed Ba Abdullah, Simon J. Watson, Matthew Cotten, John R. Arrand, Paul G. Murray, Martin J. Allday, Alan B. Rickinson, Young Lw, Paul J. Farrell, Paul Kellam
Software Mentions: 3
Published: over 11 years ago
10.1021/acs.jpcb.1c01281
Membrane Interactions of α-Synuclein Revealed by Multiscale Molecular Dynamics Simulations, Markov State Models, and NMRCited by: 13
Author(s): Sarah-Beth T. A. Amos, Thomas C. Schwarz, Jiye Shi, Benjamin P. Cossins, Terry Baker, Richard J. K. Taylor, Robert Konrat, Mark S. P. Sansom
Software Mentions: 3
Published: over 5 years ago
10.1128/JVI.01413-17
The Epstein-Barr Virus Episome Maneuvers between Nuclear Chromatin Compartments during ReactivationCited by: 41
Author(s): S. Moquin, Sean Thomas, Sean Whalen, Alix Warburton, Samantha G. Fernandez, Alison A. McBride, Katherine S. Pollard, JJ L. Miranda
Software Mentions: 3
Published: over 8 years ago
10.7717/peerj.8783
Meta-SourceTracker: application of Bayesian source tracking to shotgun metagenomicsCited by: 36
Author(s): Jordan McGhee, Nick Rawson, Barbara Bailey, Antonio Fernández-Guerra, Laura Sisk-Hackworth, Scott T. Kelley
Software Mentions: 3
Published: over 6 years ago
10.3390/genes12020186
VIRMOTIF: A User-Friendly Tool for Viral Sequence AnalysisCited by: 17
Author(s): Pedram Rajaei, Khadijeh Jahanian, Amin Beheshti, Shahab S. Band, Abdollah Dehzangi, Hamid Alinejad‐Rokny
Software Mentions: 3
Published: over 5 years ago
10.1186/s12859-020-3439-4
Variant effect predictions capture some aspects of deep mutational scanning experimentsCited by: 24
Author(s): Jonas Reeb, Theresa Wirth, Burkhard Rost
Software Mentions: 3
Published: over 6 years ago
10.3390/jpm11030188
Telomere Length Dynamics and Chromosomal Instability for Predicting Individual Radiosensitivity and Risk via Machine LearningCited by: 8
Author(s): Jared J. Luxton, Miles J. McKenna, Aidan Lewis, Lynn E. Taylor, Sameer Jhavar, Gregory P. Swanson, Susan M. Bailey
Software Mentions: 3
Published: over 5 years ago
10.3390/genes9060300
Automated Recognition of RNA Structure Motifs by Their SHAPE Data SignaturesCited by: 10
Author(s): Pierce Radecki, Mirko Ledda, Sharon Aviran
Software Mentions: 3
Published: over 8 years ago
10.3390/genes9020104
Microbiome Data Accurately Predicts the Postmortem Interval Using Random Forest Regression ModelsCited by: 69
Author(s): Aeriel D. Belk, Zhenjiang Zech Xu, David Carter, Aaron M. Lynne, Sibyl R. Bucheli, Rob Knight, Jessica L. Metcalf
Software Mentions: 3
Published: over 8 years ago
10.1186/s12911-021-01487-w
Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methodsCited by: 8
Author(s): Hui Zong, Jiancheng Yang, Zeyu Zhang, Zuofeng Li, Xiaoyan Zhang
Software Mentions: 3
Published: over 5 years ago
10.1186/s12859-018-2496-4
Fast and scalable neural embedding models for biomedical sentence classificationCited by: 18
Author(s): Asan Agibetov, Kathrin Blagec, Hong Xu, Matthias Samwald
Software Mentions: 3
Published: almost 8 years ago
10.3390/genes9090424
Human Age Prediction Based on DNA Methylation Using a Gradient Boosting RegressorCited by: 41
Author(s): Xingyan Li, Weidong Li, Yan Xu
Software Mentions: 3
Published: about 8 years ago
10.1534/g3.116.033654
Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep LearningCited by: 112
Author(s): Tanel Pärnamaa, Leopold Parts
Software Mentions: 3
Published: over 9 years ago
10.7717/peerj.7600
OutbreakFinder: a visualization tool for rapid detection of bacterial strain clusters based on optimized multidimensional scalingCited by: 1
Author(s): Ming-Hsin Tsai, Yen‐Yi Liu, Chih-Chieh Chen
Software Mentions: 3
Published: about 7 years ago
10.1186/s12859-016-1349-2
Feature-based classification of human transcription factors into hypothetical sub-classes related to regulatory functionCited by: 14
Author(s): Rezvan Ehsani, Shahram Bahrami, Finn Drabløs
Software Mentions: 3
Published: almost 10 years ago
10.1186/s12911-020-1114-3
A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints predictionCited by: 7
Author(s): Kaiwen Tan, Weixian Huang, Jinlong Hu, Shen Dong
Software Mentions: 3
Published: over 6 years ago
10.1534/g3.116.035915
Predictability of Genetic Interactions from Functional Gene ModulesCited by: 9
Author(s): Jonathan H. Young, Edward M. Marcotte
Software Mentions: 3
Published: over 9 years ago
10.1016/j.patter.2020.100013
Random Forest Models for Accurate Identification of Coordination Environments from X-Ray Absorption Near-Edge StructureCited by: 40
Author(s): Zheng Chen, Chi Chen, Yiming Chen, Shyue Ping Ong
Software Mentions: 3
Published: over 6 years ago
10.1093/g3journal/jkab129
Genetic basis of offspring number–body weight tradeoff in <i>Drosophila melanogaster</i>Cited by: 5
Author(s): Jamilla Akhund-Zade, Shraddha Lall, Erika Gajda, Denise Yoon, Julien F. Ayroles, Benjamin L. de Bivort
Software Mentions: 3
Published: over 5 years ago
10.1523/ENEURO.0305-18.2020
Circuit and Cellular Mechanisms Facilitate the Transformation from Dense to Sparse Coding in the Insect Olfactory SystemCited by: 16
Author(s): Rinaldo Betkiewicz, Benjamin Lindner, Martin Paul Nawrot
Software Mentions: 3
Published: over 6 years ago
10.1186/s12911-020-01268-x
Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record dataCited by: 11
Author(s): Divneet Mandair, Premanand Tiwari, Steven R. Simon, Kathryn Colborn, Michael Rosenberg
Software Mentions: 3
Published: about 6 years ago
10.2196/19263
Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy StudyCited by: 19
Author(s): Jean Tori Pantel, Nurulhuda Hajjir, Magdalena Danyel, Jonas Elsner, Angela Teresa Abad-Perez, Peter C. Hansen, Stefan Mundlos, Malte Spielmann, Denise Horn, Claus‐Eric Ott, Martin A. Mensah
Software Mentions: 3
Published: almost 6 years ago
10.2196/22635
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational StudyCited by: 174
Author(s): Daniel M. Low, Laurie Rumker, Tanya Talkar, John Torous, Guillermo A. Cecchi, Samik Ghosh
Software Mentions: 3
Published: almost 6 years ago
10.12688/wellcomeopenres.15903.1
Could dementia be detected from UK primary care patients’ records by simple automated methods earlier than by the treating physician? A retrospective case-control studyCited by: 8
Author(s): Elizabeth Ford, Johannes Starlinger, Philip Rooney, Seb Oliver, Sube Banerjee, Harm van Marwijk, Jackie A Cassell
Software Mentions: 3
Published: over 6 years ago
10.2196/26139
Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort StudyCited by: 9
Author(s): Richard Woodman, Kimberley Bryant, Michael J. Sorich, Alberto Pilotto, Arduino A. Mangoni
Software Mentions: 3
Published: over 5 years ago
10.2196/11990
Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data ImbalanceCited by: 24
Author(s): Jinying Chen, John P. Lalor, Weisong Liu, Emily Druhl, Edgard A. Granillo, Varsha G Vimalananda, Hong Yu
Software Mentions: 3
Published: over 7 years ago
10.2196/17087
Investigation of Geographic and Macrolevel Variations in LGBTQ Patient Experiences: Longitudinal Social Media AnalysisCited by: 8
Author(s): Yulin Hswen, Amanda Zhang, Kara Sewalk, Gaurav Tuli, John S. Brownstein, Joseph E. Hawkins
Software Mentions: 3
Published: about 6 years ago
10.2196/20645
Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics ApproachCited by: 15
Author(s): Rui Li, Changchang Yin, Samuel Yang, Buyue Qian, Ping Zhang
Software Mentions: 3
Published: about 6 years ago
10.1186/s12859-016-1345-6
SnoReport 2.0: new features and a refined Support Vector Machine to improve snoRNA identificationCited by: 18
Author(s): João Victor de Araújo Oliveira, Fabrizio Costa, Rolf Backofen, Peter F. Stadler, Maria Emília M. T. Walter, Jana Hertel
Software Mentions: 3
Published: almost 10 years ago
10.2196/26075
Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort StudyCited by: 10
Author(s): André Patrício, Rafael S. Costa, Rui Henriques
Software Mentions: 3
Published: over 5 years ago
10.2196/12783
Tweet Classification Toward Twitter-Based Disease Surveillance: New Data, Methods, and EvaluationsCited by: 23
Author(s): Shoko Wakamiya, Mizuki Morita, Yoshinobu Kano, Tomoko Ohkuma, Eiji Aramaki
Software Mentions: 3
Published: over 7 years ago
10.3390/v13071240
PhaLP: A Database for the Study of Phage Lytic Proteins and Their EvolutionCited by: 15
Author(s): Bjorn Criel, Steff Taelman, Wim Van Criekinge, Michiel Stock, Yves Briers
Software Mentions: 3
Published: over 5 years ago
10.2196/23390
Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort StudyCited by: 13
Author(s): Wanfa Dai, Peifeng Ke, Zhenzhen Li, Qi-Zhen Zhuang, Wei Huang, Yi Wang, Yujuan Xiong, Xianzhang Huang
Software Mentions: 3
Published: over 5 years ago
10.2196/26892
Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability StudyCited by: 6
Author(s): Lizong Deng, Luming Chen, Tao Yang, Mi Liu, Shicheng Li, Taijiao Jiang
Software Mentions: 3
Published: over 5 years ago
10.14202/vetworld.2021.829-834
Support vector regression algorithm modeling to predict the parturition date of small - to medium-sized dogs using maternal weight and fetal biparietal diameterCited by: 2
Author(s): Thanida Sananmuang, Kanchanarat Mankong, Suppawiwat Ponglowhapan, Kaj Chokeshaiusaha
Software Mentions: 3
Published: over 5 years ago
10.1186/s12859-021-04405-z
Identification, visualization, statistical analysis and mathematical modeling of high-feedback loops in gene regulatory networksCited by: 9
Author(s): Benjamin Nordick, Tian Hong
Software Mentions: 3
Published: about 5 years ago
10.7717/peerj.4452
Characterization of shifts of koala (<i>Phascolarctos cinereus)</i> intestinal microbial communities associated with antibiotic treatmentCited by: 28
Author(s): Katherine E. Dahlhausen, Ladan Doroud, Alana Firl, Adam Polkinghorne, Jonathan A. Eisen
Software Mentions: 3
Published: over 8 years ago
10.3389/fmicb.2020.616692
Tracking Major Sources of Water Contamination Using Machine LearningCited by: 7
Author(s): Jianyong Wu, Conghe Song, Eric A. Dubinsky, J R Stewart
Software Mentions: 3
Published: over 5 years ago
10.2196/27060
Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and ValidationCited by: 25
Author(s): Ho Young Chung, Hoon Ko, Wu Seong Kang, Kyung Won Kim, Hooseok Lee, Chul Park, Hyun-Ok Song, Tae–Young Choi, Jae Ho Seo, Jin-Seok Lee
Software Mentions: 3
Published: over 5 years ago