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

Enhanced Analysis
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
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +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:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning scikit-learn 2,431

10.1371/journal.pone.0247444
Attention based GRU-LSTM for software defect prediction
Cited by: 12
Author(s): Hafiz Shahbaz Munir, Shengbing Ren, Mubashar Mustafa, Chaudry Naeem Siddique, Shazib Qayyum
Software Mentions: 3
Published: over 5 years ago
10.1186/s13059-020-02253-3
SPIN reveals genome-wide landscape of nuclear compartmentalization
Cited by: 52
Author(s): Yuchuan Wang, Yang Zhang, Ruochi Zhang, Tom van Schaik, Liguo Zhang, Takayo Sasaki, Daniel Peric-Hupkes, Yu Chen, David M. Gilbert, Bas van Steensel, Andrew S. Belmont, Jian Ma
Software Mentions: 3
Published: over 5 years ago
10.3390/healthcare9070792
Post-Analysis of Predictive Modeling with an Epidemiological Example
Cited by: 0
Author(s): Christina Brester, Ari Voutilainen, Tomi‐Pekka Tuomainen, Jussi Kauhanen, Mikko Kolehmainen
Software Mentions: 3
Published: about 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 Validation
Cited 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
10.3390/healthcare9050522
A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images
Cited by: 54
Author(s): Yassir Edrees Almalki, Abdul Qayyum, Muhammad Irfan, Noman Haider, Adam Głowacz, Fahad Alshehri, Sharifa Khalid Alduraibi, Khalaf Alshamrani, Mohammad Abd Alkhalik Basha, Alaa Khalid Alduraibi, M.K. Saeed, Saifur Rahman
Software Mentions: 3
Published: over 5 years ago
10.1186/s13073-020-00796-5
Integrated analysis of microbiome and host transcriptome reveals correlations between gut microbiota and clinical outcomes in HBV-related hepatocellular carcinoma
Cited by: 73
Author(s): Hechen Huang, Zhigang Ren, Xingxing Gao, Xiaoyi Hu, Yuan Zhou, Jianwen Jiang, Haifeng Lü, Shengyong Yin, Junfang Ji, Lin Zhou, Shusen Zheng
Software Mentions: 3
Published: over 5 years ago
10.1007/s13755-021-00161-9
The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports
Cited by: 4
Author(s): Erika Scott, Liane Hirabayashi, Alex Levenstein, Nicole Krupa, Paul Jenkins
Software Mentions: 3
Published: about 5 years ago
10.1016/j.gpb.2019.09.004
Machine Learning to Detect Alzheimer’s Disease from Circulating Non-coding RNAs
Cited by: 63
Author(s): Nicole Ludwig, Tobias Fehlmann, Fabian Kern, M. Gogol, Walter Maetzler, Stephanie Deutscher, Simone Gurlit, Claudia Schulte, Anna‐Katharina von Thaler, Christian Deuschle, Florian Metzger, Daniela Berg, Ulrike Suenkel, Verena Keller, Christina Backes, Hans‐Peter Lenhof, Eckart Meese
Software Mentions: 3
Published: about 7 years ago
10.1371/journal.pone.0167822
On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships
Cited by: 7
Author(s): Guilherme D. Marmerola, Marina Atsumi Oikawa, Zanoni Dias, Siome Goldenstein, Anderson Rocha
Software Mentions: 3
Published: over 9 years ago
10.1093/gigascience/gix096
MEBS, a software platform to evaluate large (meta)genomic collections according to their metabolic machinery: unraveling the sulfur cycle
Cited by: 24
Author(s): Valerie De Anda, Icoquih Zapata‐Peñasco, Augusto César Poot-Hernández, Luis E. Eguiarte, Bruno Contreras‐Moreira, Valeria Souza
Software Mentions: 3
Published: almost 9 years ago
10.1093/gigascience/giaa062
CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems
Cited by: 27
Author(s): Victor Alexandre Padilha, Omer S. Alkhnbashi, Shiraz A. Shah, André C. P. L. F. de Carvalho, Rolf Backofen
Software Mentions: 3
Published: about 6 years ago
10.1136/gutjnl-2018-317071
Fine needle aspirates comprehensively sample intrahepatic immunity
Cited by: 60
Author(s): Upkar S. Gill, Laura J. Pallett, Niclas Thomas, Alice R. Burton, Amit A. Patel, Simon Yona, Patrick Kennedy, Mala K. Maini
Software Mentions: 3
Published: over 7 years ago
10.1523/ENEURO.0305-18.2020
Circuit and Cellular Mechanisms Facilitate the Transformation from Dense to Sparse Coding in the Insect Olfactory System
Cited by: 16
Author(s): Rinaldo Betkiewicz, Benjamin Lindner, Martin Paul Nawrot
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 results
Cited 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
10.3390/ijms22137124
Single Copy Oligonucleotide Fluorescence In Situ Hybridization Probe Design Platforms: Development, Application and Evaluation
Cited by: 9
Author(s): Guanqing Liu, Tao Zhang
Software Mentions: 3
Published: about 5 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-1
Cited 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: 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 Samples
Cited 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/jpm11030188
Telomere Length Dynamics and Chromosomal Instability for Predicting Individual Radiosensitivity and Risk via Machine Learning
Cited 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
10.1371/journal.pone.0256858
A general method for estimating the prevalence of influenza-like-symptoms with Wikipedia data
Cited by: 3
Author(s): Giovanni De Toni, Cristian Consonni, Alberto Montresor
Software Mentions: 3
Published: almost 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 study
Cited 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
10.1371/journal.pone.0196615
An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis
Cited 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 learning
Cited by: 11
Author(s): Magdalena K. Sobol, Sarah A. Finkelstein
Software Mentions: 3
Published: almost 8 years ago
10.3390/ijms21176036
Transcriptomic Analysis of Short-Term Salt Stress Response in Watermelon Seedlings
Cited by: 21
Author(s): Qiushuo Song, M. S. Joshi, Vijay Joshi
Software Mentions: 3
Published: almost 6 years ago
10.3390/ijms21155476
A Structural Model for Bax∆2-Mediated Activation of Caspase 8-Dependent Apoptosis
Cited by: 2
Author(s): Bing Xie, Qi Yao, Jialing Xiang, David D. L. Minh
Software Mentions: 3
Published: about 6 years ago
10.1371/journal.pone.0201264
Effective injury forecasting in soccer with GPS training data and machine learning
Cited 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
10.7554/eLife.08719
Molecular architecture of the yeast Mediator complex
Cited by: 133
Author(s): Philip J. Robinson, Michael J. Trnka, Riccardo Pellarin, Charles H. Greenberg, David Bushnell, Roger T. Davis, Alma L. Burlingame, Andrej Šali, Roger D. Kornberg
Software Mentions: 3
Published: almost 11 years ago
10.1371/journal.pone.0249423
Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques
Cited by: 52
Author(s): Indy Man Kit Ho, K.Y. Cheong, Anthony Weldon
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0237304
A fractal kinetics SI model can explain the dynamics of COVID-19 epidemics
Cited by: 13
Author(s): Kosmas Kosmidis, Panos Macheras
Software Mentions: 3
Published: about 6 years ago
10.7554/eLife.56053
Population coupling predicts the plasticity of stimulus responses in cortical circuits
Cited by: 24
Author(s): Yann Sweeney, Claudia Clopath
Software Mentions: 3
Published: over 6 years ago
10.7554/eLife.57390
Population-scale proteome variation in human induced pluripotent stem cells
Cited by: 38
Author(s): Bogdan Mirauta, Daniel D Seaton, Dalila Bensaddek, Alejandro Brenes, Marc Jan Bonder, Helena Kilpinen, Chukwuma A. Agu, Alex Alderton, Petr Danecek, Rachel Denton, Richard Durbin, Daniel J Gaffney, Ângela Gonçalves, Reena Halai, Sarah Harper, Christopher M. Kirton, Anja Kolb-Kokocinski, Andreas Leha, Shane McCarthy, Yasin Memari, Minal Patel, Ewan Birney, Francesco Paolo Casale, Laura Clarke, Peter W. Harrison, Helena Kilpinen, Ian Streeter, Davide Denovi, Oliver Stegle, Angus I. Lamond, Ruta Meleckyte, Natalie Moens, Fiona M. Watt, Willem H. Ouwehand, Philip L. Beales, Oliver Stegle, Angus I. Lamond
Software Mentions: 3
Published: about 6 years ago
10.1371/journal.pone.0209139
Computational framework for targeted high-coverage sequencing based NIPT
Cited by: 7
Author(s): Hindrek Teder, Priit Paluoja, Kadri Rekker, Andres Salumets, Kaarel Krjutškov, Priit Palta
Software Mentions: 3
Published: about 7 years ago
10.3389/fcell.2020.594587
DeepCSO: A Deep-Learning Network Approach to Predicting Cysteine S-Sulphenylation Sites
Cited by: 16
Author(s): Xiaru Lyu, Shuhao Li, Chunyang Jiang, Ningning He, Zhe Chen, Yang Zou, Lei Li
Software Mentions: 3
Published: over 5 years ago
10.3389/fcell.2020.00350
Localization Preference of Antimicrobial Peptides on Liquid-Disordered Membrane Domains
Cited by: 26
Author(s): Juanjuan Su, Siewert J. Marrink, Manuel N. Melo
Software Mentions: 3
Published: over 6 years ago
10.1371/journal.pone.0254359
Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis
Cited by: 12
Author(s): Lingyao Li, Abdolmajid Erfani, Yu Wang, Qingbin Cui
Software Mentions: 3
Published: about 5 years ago
10.1128/mSystems.00046-17
Total Lipopolysaccharide from the Human Gut Microbiome Silences Toll-Like Receptor Signaling
Cited by: 179
Author(s): Eva d’Hennezel, Sahar Abubucker, Leon O. Murphy, Thomas W. Cullen
Software Mentions: 3
Published: over 8 years ago
10.1128/mSystems.00188-16
Community-Level Differences in the Microbiome of Healthy Wild Mallards and Those Infected by Influenza A Viruses
Cited by: 35
Author(s): Holly H. Ganz, Ladan Doroud, Alana Firl, Sarah M. Hird, Jonathan A. Eisen, Walter M. Boyce
Software Mentions: 3
Published: over 9 years ago
10.1128/mSystems.00101-16
From Genomes to Phenotypes: Traitar, the Microbial Trait Analyzer
Cited by: 90
Author(s): Aaron Weimann, Kyra Mooren, Jeremy A. Frank, Phillip B. Pope, Andreas Bremges, Alice C. McHardy
Software Mentions: 3
Published: over 9 years ago
10.3389/fncom.2019.00075
Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition
Cited by: 25
Author(s): James Kunert-Graf, Kristian Eschenburg, David J. Galas, J. Nathan Kutz, Swati Rane, Bingni W. Brunton
Software Mentions: 3
Published: almost 7 years ago
10.1128/mSystems.00022-16
Geography and Location Are the Primary Drivers of Office Microbiome Composition
Cited by: 104
Author(s): John Chase, Jennifer Fouquier, Mahnaz Zare, Derek L. Sonderegger, Rob Knight, Scott T. Kelley, Jeffrey A. Siegel, J. Gregory Caporaso
Software Mentions: 3
Published: over 10 years ago
10.1128/mSphere.00482-19
Genomic Variation among Strains of <i>Crithidia bombi</i> and <i>C. expoeki</i>
Cited by: 7
Author(s): Evgeny S. Gerasimov, Niklaus Zemp, Regula Schmid‐Hempel, Paul Schmid‐Hempel, Vyacheslav Yurchenko
Software Mentions: 3
Published: almost 7 years ago
10.1038/s41398-020-00951-x
Clustering by phenotype and genome-wide association study in autism
Cited by: 25
Author(s): Akira Narita, Masato Nagai, Satoshi Mizuno, Soichi Ogishima, Gen Tamiya, Masao Ueki, Rieko Sakurai, Satoshi Makino, Taku Obara, Mami Ishikuro, Chizuru Yamanaka, Hiroko Matsubara, Yasutaka Kuniyoshi, Keiko Murakami, Fumihiko Ueno, Aoi Noda, Tomoko Kobayashi, Mika Kobayashi, Takuma Usuzaki, Hisashi Ohseto, Atsushi Hozawa, Masahiro Kikuya, Hirohito Metoki, Shigeo Kure, Shinichi Kuriyama
Software Mentions: 3
Published: about 6 years ago
10.1038/s41398-019-0595-2
Depression and suicide risk prediction models using blood-derived multi-omics data
Cited by: 32
Author(s): Youngjune Bhak, Hyoung oh Jeong, Yun Sung Cho, Sungwon Jeon, Juok Cho, Jeong An Gim, Yeonsu Jeon, Asta Blažytė, Seung Gu Park, Hak Min Kim, Eun Seok Shin, Jong Woo Paik, Hae Woo Lee, Wooyoung Kang, Aram Kim, Yumi Kim, Byung Chul Kim, Byung Joo Ham, Jong Bhak, Semin Lee
Software Mentions: 3
Published: almost 7 years ago
10.2196/26892
Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study
Cited by: 6
Author(s): Lizong Deng, Luming Chen, Tao Yang, Mi Liu, Shicheng Li, Taijiao Jiang
Software Mentions: 3
Published: about 5 years ago
10.3389/fgene.2021.703210
Identification and Validation of a PPP1R12A-Related Five-Gene Signature Associated With Metabolism to Predict the Prognosis of Patients With Prostate Cancer
Cited by: 3
Author(s): Zhihao Zou, Ren Liu, Yingke Liang, Rui Zhou, Qi-Shan Dai, Zhengxue Han, Minyao Jiang, Yangjia Zhuo, Yixun Zhang, Yuanfa Feng, Xinwen Zhu, Shanghua Cai, Jundong Lin, Zhenfeng Tang, Weide Zhong, Yu‐Xiang Liang
Software Mentions: 3
Published: about 5 years ago
10.3389/fgene.2020.598318
Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations
Cited by: 17
Author(s): Wei Zhao, Xueshuang Lai, Dengying Liu, Zhenyang Zhang, Peipei Ma, Qishan Wang, Zhe Zhang, Yuchun Pan
Software Mentions: 3
Published: over 5 years ago
10.1128/JVI.01413-17
The Epstein-Barr Virus Episome Maneuvers between Nuclear Chromatin Compartments during Reactivation
Cited 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
10.1128/JVI.03614-14
Genome Diversity of Epstein-Barr Virus from Multiple Tumor Types and Normal Infection
Cited 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
10.7150/thno.37429
Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
Cited by: 50
Author(s): Fang Jin, Bin Zhang, Shuo Wang, Yan Jin, Fei Wang, Yingying Ding, Justin Chen, Liting Chen, Yueyue Li, Minmin Li, Zhuozhi Chen, Lizhi Liu, Zhenyu Liu, Jie Tian, Shuixing Zhang
Software Mentions: 3
Published: over 6 years ago
10.1007/s12064-020-00330-6
Are spliced ncRNA host genes distinct classes of lncRNAs?
Cited by: 1
Author(s): Riturparno Sen, Jörg Fallmann, Maria Emília M. T. Walter, Peter F. Stadler
Software Mentions: 3
Published: over 5 years ago
10.3389/fgene.2021.641100
Unearthing of Key Genes Driving the Pathogenesis of Alzheimer’s Disease via Bioinformatics
Cited by: 5
Author(s): Xingxing Zhao, Hongmei Yao, Xinyi Li
Software Mentions: 3
Published: over 5 years ago
10.1523/ENEURO.0038-20.2020
DeepCINAC: A Deep-Learning-Based Python Toolbox for Inferring Calcium Imaging Neuronal Activity Based on Movie Visualization
Cited by: 11
Author(s): Julien Denis, Robin F Dard, Eleonora Quiroli, Rosa Cossart, Michel A. Picardo
Software Mentions: 3
Published: about 6 years ago
10.3390/s21175896
Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning
Cited by: 4
Author(s): Eddi Miller, Vladyslav Borysenko, Moritz Heusinger, Niklas Niedner, Bastian Engelmann, Jan Schmitt
Software Mentions: 3
Published: almost 5 years ago
10.3390/s21155218
LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices
Cited by: 14
Author(s): Ramón Sánchez-Iborra
Software Mentions: 3
Published: about 5 years ago
10.3390/s21144713
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers
Cited by: 5
Author(s): Mariem Abid, Amal Khabou, Youssef Ouakrim, Hugo Watel, Safouene Chemcki, Amar Mitiche, Amel Benazza-Benyahia, Neila Mezghani
Software Mentions: 3
Published: about 5 years ago
10.3390/s21134519
Machine Learning Methods for Fear Classification Based on Physiological Features
Cited by: 8
Author(s): Livia Petrescu, Cătălin Petrescu, Ana Maria Oprea, Oana Mitruț, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu
Software Mentions: 3
Published: about 5 years ago
10.3390/s21134302
The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring
Cited by: 57
Author(s): Marco Altini, Hannu Kinnunen
Software Mentions: 3
Published: about 5 years ago
10.2196/11990
Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance
Cited 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
10.3390/s21113867
Climate-Aware and IoT-Enabled Selection of the Most Suitable Stone Fruit Tree Variety
Cited by: 6
Author(s): Juan Antonio López-Morales, Juan Antonio Martı́nez, Manuel Caro, Manuel Erena, Antonio F. Skarmeta
Software Mentions: 3
Published: about 5 years ago
10.3390/s21093256
Autonomous Fingerprinting and Large Experimental Data Set for Visible Light Positioning
Cited by: 6
Author(s): Tyrel Glass, Fakhrul Alam, Mathew Legg, Frazer Noble
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0113516
Breaking an Epigenetic Chromatin Switch: Curious Features of Hysteresis in Saccharomyces cerevisiae Telomeric Silencing
Cited by: 8
Author(s): Vijayalakshmi H. Nagaraj, Swagatam Mukhopadhyay, Adel Dayarian, Anirvan M. Sengupta
Software Mentions: 3
Published: over 11 years ago
10.3389/fnhum.2021.621493
MindLink-Eumpy: An Open-Source Python Toolbox for Multimodal Emotion Recognition
Cited by: 13
Author(s): Ruixin Li, Yan Liang, Xiaojian Liu, Bingbing Wang, Wenxin Huang, Zhanchuan Cai, Yaoguang Ye, Lina Qiu, Jiahui Pan
Software Mentions: 3
Published: over 5 years ago
10.2196/19263
Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study
Cited 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
10.2196/26139
Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study
Cited by: 9
Author(s): Richard Woodman, Kimberley Bryant, Michael J. Sorich, Alberto Pilotto, Arduino A. Mangoni
Software Mentions: 3
Published: about 5 years ago
10.3390/s21082873
HRV Features as Viable Physiological Markers for Stress Detection Using Wearable Devices
Cited by: 52
Author(s): Kayisan M. Dalmeida, G. L. Masala
Software Mentions: 3
Published: over 5 years ago
10.3389/fimmu.2021.715072
Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study
Cited by: 11
Author(s): Olga Krysko, Elena Kondakova, O. S. Vershinina, Elena A. Galova, А С Благонравова, Е. Н. Горшкова, Claus Bachert, Mikhail Ivanchenko, Dmitri V. Krysko, Maria V. Vedunova
Software Mentions: 3
Published: almost 5 years ago
10.3390/s21051639
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting
Cited by: 40
Author(s): Seungmin Jung, Jihoon Moon, Sungwoo Park, Eenjun Hwang
Software Mentions: 3
Published: over 5 years ago
10.3390/s21020405
DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments—A Case Study in the Smart Lab of The University of Almería
Cited by: 10
Author(s): Marcos Lupión, Javier Medina-Quero, Juan F. Sanjuan, Pilar M. Ortigosa
Software Mentions: 3
Published: over 5 years ago
10.2196/22635
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study
Cited 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
10.3390/s20226535
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data
Cited by: 21
Author(s): Maciej Dzieżyc, Martin Gjoreski, Przemysław Kazienko, Stanisław Saganowski, Matjaž Gams
Software Mentions: 3
Published: almost 6 years ago
10.1371/journal.pone.0234003
Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth
Cited by: 8
Author(s): Andreas Bjerre-Nielsen, Kelton Minor, Piotr Sapieżyński, Sune Lehmann, David Dreyer Lassen
Software Mentions: 3
Published: about 6 years ago
10.3389/fmicb.2020.564579
Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis
Cited by: 17
Author(s): Xunmin Tan, Yu Huang, Tingjia Chai, Xiaoli Zhao, Yifan Li, Jing Wu, Hanping Zhang, Jiajia Duan, Weiwei Liang, Bangmin Yin, Ke Cheng, Gang Yu, Peng Zheng, Peng Xie
Software Mentions: 3
Published: almost 6 years ago
10.3389/fmicb.2021.689987
Diversity and Eco-Evolutionary Associations of Endosymbiotic Astome Ciliates With Their Lumbricid Earthworm Hosts
Cited by: 9
Author(s): Tomáš Obert, Ivan Rurik, Peter Vďačný
Software Mentions: 3
Published: about 5 years ago
10.3389/fmicb.2021.644487
Beating Naive Bayes at Taxonomic Classification of 16S rRNA Gene Sequences
Cited by: 8
Author(s): Michał Ziemski, Treepop Wisanwanichthan, Nicholas A. Bokulich, Benjamin Kaehler
Software Mentions: 3
Published: about 5 years ago
10.3389/fmicb.2020.00383
Featured Gut Microbiomes Associated With the Progression of Chronic Hepatitis B Disease
Cited by: 48
Author(s): Zhangran Chen, Yurou Xie, Fei Zhou, Bangzhou Zhang, Jingtong Wu, Luxi Yang, Shuaimei Xu, Robert D. Stedtfeld, Qiongyun Chen, Jingjing Liu, Xiang Zhang, Hui Xu, Jianlin Ren
Software Mentions: 3
Published: over 6 years ago
10.1038/s41598-021-90566-z
Identification of risk groups for mental disorders, headache and oral behaviors in adults during the COVID-19 pandemic
Cited by: 24
Author(s): Mieszko Więckiewicz, Dariusz Danel, Maciej Pondel, Joanna Smardz, Helena Martynowicz, Tomasz Wieczorek, Grzegorz Mazur, Robert Pudło, Gniewko Więckiewicz
Software Mentions: 3
Published: about 5 years ago
10.3389/fmicb.2020.616692
Tracking Major Sources of Water Contamination Using Machine Learning
Cited by: 7
Author(s): Jianyong Wu, Conghe Song, Eric A. Dubinsky, J R Stewart
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-021-89848-3
A deep learning model for detection of cervical spinal cord compression in MRI scans
Cited by: 26
Author(s): Zamir Merali, Justin Z Wang, Jetan H. Badhiwala, Christopher D. Witiw, Jefferson R. Wilson, Michael G. Fehlings
Software Mentions: 3
Published: over 5 years ago
10.2196/26075
Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study
Cited by: 10
Author(s): André Patrício, Rafael S. Costa, Rui Henriques
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-021-87644-7
A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images
Cited by: 19
Author(s): Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Hiroaki Takeoka, Masaki Okamoto, Koji Yamazaki, Sadanori Takeo, Osamu Iizuka, Masayuki Tsuneki
Software Mentions: 3
Published: over 5 years ago
10.2196/17087
Investigation of Geographic and Macrolevel Variations in LGBTQ Patient Experiences: Longitudinal Social Media Analysis
Cited 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
10.1038/s41598-021-82388-w
Cerebrospinal fluid proteome shows disrupted neuronal development in multiple sclerosis
Cited by: 10
Author(s): Ellen Færgestad Mosleth, Christian A. Vedeler, Kristian Hovde Liland, Anette McLeod, Gerd Haga Bringeland, Liesbeth Kroondijk, Frode S. Berven, Artem Lysenko, Christopher J. Rawlings, Karim Eid, Jill A. Opsahl, Bjørn Tore Gjertsen, Kjell‐Morten Myhr, Sonia Gavasso
Software Mentions: 3
Published: over 5 years ago
10.1371/journal.pone.0245026
Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms
Cited by: 17
Author(s): Wen Jin, Philip Chowienczyk, Jordi Alastruey
Software Mentions: 3
Published: about 5 years ago
10.1038/s41598-021-82098-3
A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
Cited by: 92
Author(s): Shaker El–Sappagh, José M. Alonso, S. M. Riazul Islam, Ahmed Sultan, Kyung Sup Kwak
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-020-77660-4
A calibrated measure to compare fluctuations of different entities across timescales
Cited by: 5
Author(s): Jan Chołoniewski, Julian Sienkiewicz, Naum Dretnik, Gregor Leban, Mike Thelwall, Janusz A. Hołyst
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-020-77765-w
Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry
Cited by: 4
Author(s): Alessio Lugnan, Emmanuel Gooskens, Jeremy Vatin, Joni Dambre, Peter Bienstman
Software Mentions: 3
Published: over 5 years ago
10.1021/acs.jpcb.1c01281
Membrane Interactions of α-Synuclein Revealed by Multiscale Molecular Dynamics Simulations, Markov State Models, and NMR
Cited 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
10.1038/s41598-020-77549-2
Automated measurement of long-term bower behaviors in Lake Malawi cichlids using depth sensing and action recognition
Cited by: 3
Author(s): Zachary V. Johnson, Manu Tej Sharma Arrojwala, Vineeth Aljapur, Tyrone Lee, Tucker J. Lancaster, Mark C. Lowder, Karen Gu, Joseph Stockert, Rachel L. Lecesne, Jean Michael Moorman, J. Todd Streelman, Patrick T. McGrath
Software Mentions: 3
Published: over 5 years ago
10.1038/s41598-020-74823-1
Predicting human health from biofluid-based metabolomics using machine learning
Cited by: 15
Author(s): Ethan D. Evans, Claire Duvallet, Nathaniel D. Chu, Michael Oberst, Michael Murphy, Isaac Rockafellow, David Sontag, Eric J. Alm
Software Mentions: 3
Published: almost 6 years ago
10.1038/s41598-020-71255-9
Applied machine learning for predicting the lanthanide-ligand binding affinities
Cited by: 17
Author(s): Suryanaman Chaube, Sriram Goverapet Srinivasan, Beena Rai
Software Mentions: 3
Published: almost 6 years ago
10.1186/s13321-015-0109-z
ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation
Cited by: 206
Author(s): Jie Dong, Dong‐Sheng Cao, Hongyu Miao, Lei Shao, Baichuan Deng, Yong‐Huan Yun, Ningning Wang, Aiping Lü, Wenbin Zeng, Alex F. Chen
Software Mentions: 3
Published: over 10 years ago
10.1186/s12883-020-01672-w
Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis
Cited 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 approach
Cited by: 153
Author(s): Xiaoyong Pan, Hong‐Bin Shen
Software Mentions: 3
Published: over 9 years ago
10.7717/peerj.8783
Meta-SourceTracker: application of Bayesian source tracking to shotgun metagenomics
Cited 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
10.1083/jcb.202003052
Stochastic combinations of actin regulatory proteins are sufficient to drive filopodia formation
Cited by: 15
Author(s): Ulrich Dobramysl, Iris K. Jarsch, Yoshiko Inoue, Hanae Shimo, Benjamin Richier, Jonathan R Gadsby, Julia Mason, Alicja M. Szalapak, Pantelis Savvas Ioannou, Guilherme Pereira Correia, Astrid Walrant, Richard J. Butler, Édouard Hannezo, Benjamin D. Simons, Jennifer L. Gallop
Software Mentions: 3
Published: over 5 years ago
10.1186/s12859-020-3439-4
Variant effect predictions capture some aspects of deep mutational scanning experiments
Cited by: 24
Author(s): Jonas Reeb, Theresa Wirth, Burkhard Rost
Software Mentions: 3
Published: over 6 years ago
10.1016/j.jbi.2020.103668
Modified Needleman–Wunsch algorithm for clinical pathway clustering
Cited by: 10
Author(s): Emma Aspland, Paul Robert Harper, Daniel Gärtner, Philip Webb, Peter Barrett-Lee
Software Mentions: 3
Published: over 5 years ago
10.7717/peerj.4452
Characterization of shifts of koala (<i>Phascolarctos cinereus)</i> intestinal microbial communities associated with antibiotic treatment
Cited by: 28
Author(s): Katherine E. Dahlhausen, Ladan Doroud, Alana Firl, Adam Polkinghorne, Jonathan A. Eisen
Software Mentions: 3
Published: over 8 years ago
10.1186/s12911-021-01487-w
Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods
Cited 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 classification
Cited by: 18
Author(s): Asan Agibetov, Kathrin Blagec, Hong Xu, Matthias Samwald
Software Mentions: 3
Published: over 7 years ago
10.1038/s41598-019-44839-3
Deep Learning for the Radiographic Detection of Periodontal Bone Loss
Cited by: 199
Author(s): Joachim Krois, Thomas Ekert, Leonie Meinhold, Tatiana Golla, Basel Kharbot, Agnes Wittemeier, Christof E. Dörfer, Falk Schwendicke
Software Mentions: 3
Published: about 7 years ago