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

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

10.1128/mSystems.00960-20
Human Gene Functional Network-Informed Prediction of HIV-1 Host Dependency Factors
Cited by: 3
Author(s): Chen Fu, Shiping Yang, Xiaodi Yang, Xianyi Lian, Yan Huang, Xiaobao Dong, Ziding Zhang
Software Mentions: 4
Published: almost 5 years ago
10.1186/1752-0509-7-S6-S16
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data
Cited by: 14
Author(s): Agnieszka Podsiadło, Mariusz Wrzesień, Wiesław Paja, Witold R. Rudnicki, Bartek Wilczyński
Software Mentions: 4
Published: almost 12 years ago
10.34133/2020/5839856
“Macrobot”: An Automated Segmentation-Based System for Powdery Mildew Disease Quantification
Cited by: 15
Author(s): Stefanie Lück, Marc Strickert, Maximilian Lorbeer, Friedrich Melchert, Andreas Backhaus, David Kilias, Udo Seiffert, Dimitar Douchkov
Software Mentions: 4
Published: almost 6 years ago
10.1371/journal.pcbi.1009014
Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine
Cited by: 8
Author(s): Qiang Gu, Anup Kumar, Simon Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Grüning, Jeremy Goecks
Software Mentions: 4
Published: over 4 years ago
10.3389/fncom.2018.00056
Modern Machine Learning as a Benchmark for Fitting Neural Responses
Cited 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
10.7554/eLife.62865
Developmental hourglass and heterochronic shifts in fin and limb development
Cited by: 7
Author(s): Koh Onimaru, Kaori Tatsumi, Chiharu Tanegashima, Mitsutaka Kadota, Osamu Nishimura, Shigehiro Kuraku
Software Mentions: 4
Published: over 4 years ago
10.1371/journal.pmed.1002683
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Cited by: 809
Author(s): John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony Costa, J. Titano, Eric K. Oermann
Software Mentions: 4
Published: about 7 years ago
10.1371/journal.pcbi.1008347
Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability
Cited by: 30
Author(s): Javier Rasero, A. Sentis, Fang‐Cheng Yeh, Timothy Verstynen
Software Mentions: 4
Published: over 4 years ago
10.1371/journal.pcbi.1008001
Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites
Cited by: 2
Author(s): Ethan D. Evans, Dai Cl, Siavash Isazadeh, Shinkyu Park, Carlo Ratti, Eric J. Alm
Software Mentions: 4
Published: over 5 years ago
10.1128/mSystems.00211-19
Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine Learning
Cited by: 16
Author(s): Finlay Maguire, Muhammad Attiq Rehman, Catherine D. Carrillo, Moussa S. Diarra, Robert G. Beiko
Software Mentions: 4
Published: about 6 years ago
10.1186/s12870-021-03070-x
Natural variation in wild tomato trichomes; selecting metabolites that contribute to insect resistance using a random forest approach
Cited by: 13
Author(s): Ruy Kortbeek, Marc Galland, Aleksandra Muras, Frans van der Kloet, Bart André, Maurice Heilijgers, Sacha A. F. T. van Hijum, Michel A. Haring, Robert C. Schuurink, Petra Bleeker
Software Mentions: 4
Published: over 4 years ago
10.1038/s41598-019-53471-0
Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma
Cited by: 31
Author(s): Chengzhang Li, Jiucheng Xu
Software Mentions: 4
Published: almost 6 years ago
10.1186/s12870-014-0276-5
Populus tremula (European aspen) shows no evidence of sexual dimorphism
Cited by: 46
Author(s): Kathryn M. Robinson, Nicolas Delhomme, Niklas Mähler, Bastian Schiffthaler, Jenny Önskog, Benedicte Riber Albrectsen, Pär K. Ingvarsson, Torgeir R. Hvidsten, Stefan Jansson, Nathaniel R. Street
Software Mentions: 4
Published: about 11 years ago
10.1371/journal.pcbi.1006520
Molecular characterization of breast and lung tumors by integration of multiple data types with functional sparse-factor analysis
Cited by: 13
Author(s): Tycho Bismeijer, Sander Canisius, Lodewyk Wessels
Software Mentions: 4
Published: about 7 years ago
10.1371/journal.pcbi.1008914
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
Cited by: 29
Author(s): Laetitia Hebert, Tosif Ahamed, Á. S. Costa, Liam O’Shaughnessy, Greg J. Stephens
Software Mentions: 4
Published: over 4 years ago
10.3389/fncel.2021.668230
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO Mouse
Cited by: 4
Author(s): Alexandr Pak, Samuel T. Kissinger, Alexander A. Chubykin
Software Mentions: 4
Published: over 4 years ago
10.1021/acs.jctc.1c00159
Beyond Tripeptides Two-Step Active Machine Learning for Very Large Data sets
Cited by: 18
Author(s): Alexander van Teijlingen, Tell Tuttle
Software Mentions: 4
Published: over 4 years ago
10.3389/fonc.2020.00418
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan
Cited by: 36
Author(s): Xianwu Xia, Jing Gong, Hao Wen, Ting Yang, Yeqing Lin, Shengping Wang, Weijun Peng
Software Mentions: 4
Published: over 5 years ago
10.3389/fonc.2020.01065
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling
Cited by: 28
Author(s): Marco Chierici, Nicole Bussola, Alessia Marcolini, Margherita Francescatto, Alessandro Zandonà, Lucia Trastulla, Claudio Agostinelli, Giuseppe Jurman, Cesare Furlanello
Software Mentions: 4
Published: over 5 years ago
10.3389/fonc.2021.694102
CEUS-Based Radiomics Can Show Changes in Protein Levels in Liver Metastases After Incomplete Thermal Ablation
Cited by: 5
Author(s): Haiwei Bao, Ting Chen, Jianjun Zhu, Haiyang Xie, Fen Chen
Software Mentions: 4
Published: about 4 years ago
10.1371/journal.pone.0228422
Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms
Cited by: 42
Author(s): Md. Raihan-Al-Masud, M. Rubaiyat Hossain Mondal
Software Mentions: 4
Published: almost 6 years ago
10.3389/fphar.2021.708050
A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine Alkaloids
Cited by: 5
Author(s): Christoph Helma, Verena Schöning, Jürgen Drewe, Philipp Boss
Software Mentions: 4
Published: over 4 years ago
10.1371/journal.pone.0243915
On transformative adaptive activation functions in neural networks for gene expression inference
Cited by: 5
Author(s): Vladimír Kunc, Jǐŕı Kléma
Software Mentions: 4
Published: almost 5 years ago
10.1186/s13321-021-00513-3
Deep learning integration of molecular and interactome data for protein–compound interaction prediction
Cited by: 4
Author(s): Narumi Watanabe, Yuuto Ohnuki, Yasubumi Sakakibara
Software Mentions: 4
Published: over 4 years ago
10.1186/s13321-018-0313-8
Chemlistem: chemical named entity recognition using recurrent neural networks
Cited by: 27
Author(s): Peter Corbett, John P. Boyle
Software Mentions: 4
Published: almost 7 years ago
10.1371/journal.pone.0184661
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Cited by: 508
Author(s): Oscar Estéban, Daniel Birman, Marie Schaer, Oluwasanmi Koyejo, Russell A. Poldrack, Krzysztof J. Gorgolewski
Software Mentions: 4
Published: about 8 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 Literature
Cited 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 Selection
Cited by: 8
Author(s): Nace Kranjc, Andrea Crisanti, Tony Nolan, Federica Bernardini
Software Mentions: 4
Published: almost 5 years ago
10.1371/journal.pone.0216453
Aerodigestive sampling reveals altered microbial exchange between lung, oropharyngeal, and gastric microbiomes in children with impaired swallow function
Cited by: 12
Author(s): Claire Duvallet, Kara Larson, Scott B. Snapper, Sonia Iosim, Ann Lee, Katherine Freer, Kara May, Eric J. Alm, Rachel Rosen
Software Mentions: 4
Published: over 6 years ago
10.1001/jamanetworkopen.2019.10399
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods
Cited 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
10.1371/journal.pone.0246165
Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia
Cited by: 10
Author(s): John H. Abel, Marcus A. Badgeley, Benyamin Meschede-Krasa, Gabriel Schamberg, Indie C. Garwood, Kimaya Lecamwasam, S. Chakravarty, David Zhou, Matthew Keating, Patrick L. Purdon, Emery N. Brown
Software Mentions: 4
Published: over 4 years ago
10.3390/nu13093195
An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods
Cited by: 14
Author(s): Tazman Davies, Jimmy Chun Yu Louie, Tailane Scapin, Simone Pettigrew, Jason Wu, Matti Marklund, Daisy H. Coyle
Software Mentions: 4
Published: about 4 years ago
10.1371/journal.pone.0249583
Innovation indicators based on firm websites—Which website characteristics predict firm-level innovation activity?
Cited by: 8
Author(s): Janna Axenbeck, Patrick Breithaupt
Software Mentions: 4
Published: over 4 years ago
10.2196/mhealth.7820
Well-Being Tracking via Smartphone-Measured Activity and Sleep: Cohort Study
Cited by: 38
Author(s): Orianna DeMasi, Sidney Feygin, Aluma Dembo, Adrián Aguilera, Benjamin Recht
Software Mentions: 4
Published: about 8 years ago
10.3390/ijerph181910438
COVID-19 Vaccine Hesitancy in the Month Following the Start of the Vaccination Process
Cited by: 25
Author(s): Liviu‐Adrian Cotfas, Camelia Delcea, Rareș Gherai
Software Mentions: 4
Published: about 4 years ago
10.3390/cancers13102366
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
Cited by: 6
Author(s): Shayantan Banerjee, Karthik Raman, Balaraman Ravindran
Software Mentions: 4
Published: over 4 years ago
10.3390/cancers13153768
Machine Learning Approaches to Classify Primary and Metastatic Cancers Using Tissue of Origin-Based DNA Methylation Profiles
Cited by: 12
Author(s): Vijayachitra Modhukur, Shakshi Sharma, Mainak Mondal, Ankita Lawarde, Keiu Kask, Rajesh Sharma, Andres Salumets
Software Mentions: 4
Published: over 4 years ago
10.3390/cancers13163965
Multicenter DSC–MRI-Based Radiomics Predict IDH Mutation in Gliomas
Cited by: 21
Author(s): Georgios C. Manikis, Georgios Ioannidis, Loizos Siakallis, Katerina Nikiforaki, Cassia Michael, Diana Vozlic, Katarina Surlan-Popović, Max Wintermark, Sotirios Bisdas, Kostas Marias
Software Mentions: 4
Published: over 4 years ago
10.7554/eLife.63711
Standardized and reproducible measurement of decision-making in mice
Cited by: 72
Author(s): Valeria Aguillon-Rodriguez, Dora E. Angelaki, H Bayer, Niccolò Bonacchi, Matteo Carandini, Fanny Cazettes, Gaelle Chapuis, Anne K. Churchland, Yang Dan, Eric DeWitt, Mayo Faulkner, Hamish Forrest, Laura Haetzel, Michael Häusser, Sonja B. Hofer, Fei Hu, Anup Khanal, Christopher Krasniak, Inês Laranjeira, Zachary F. Mainen, Guido T. Meijer, Nathaniel J Miska, Thomas D. Mrsic-Flogel, Masayoshi Murakami, Jean‐Paul Noel, Alejandro Pan-Vazquez, Cyrille Rossant, Joshua I. Sanders, Karolina Socha, Rebecca Terry, Anne E Urai, Hernando Vergara, Miles J. Wells, Christian J. Wilson, Ilana B. Witten, Lauren E Wool, Anthony M. Zador
Software Mentions: 4
Published: over 4 years ago
10.1016/j.chom.2018.06.005
Mother-to-Infant Microbial Transmission from Different Body Sites Shapes the Developing Infant Gut Microbiome
Cited by: 714
Author(s): Pamela Ferretti, Edoardo Pasolli, Adrian Tett, Francesco Asnicar, Valentina Gorfer, Sabina Fedi, Federica Armanini, Duy Tin Truong, Serena Manara, Moreno Zolfo, Francesco Beghini, Roberto Bertorelli, Veronica De Sanctis, Ilaria Bariletti, Rosarita Canto, Rosanna Clementi, Marina Cologna, Tiziana Crifò, Giuseppina Cusumano, Stefania Gottardi, Claudia Innamorati, Caterina Masè, Daniela Postai, Daniela Savoi, Sabrina Duranti, Gabriele Andrea Lugli, Leonardo Mancabelli, Francesca Turroni, Chiara Ferrario, Christian Milani, Marta Mangifesta, Rosaria Anzalone, Alice Viappiani, Moran Yassour, Hera Vlamakis, Ramnik J. Xavier, María Carmen Collado, Omry Koren, Saverio Tateo, Massimo Soffiati, Anna Pedrotti, Marco Ventura, Curtis Huttenhower, Peer Bork, Nicola Segata
Software Mentions: 4
Published: over 7 years ago
10.1016/j.celrep.2019.08.077
Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis
Cited by: 129
Author(s): Damien Arnol, Denis Schapiro, Bernd Bodenmiller, Julio Sáez-Rodríguez, Oliver Stegle
Software Mentions: 4
Published: about 6 years ago
10.7554/eLife.54082
Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacity
Cited by: 10
Author(s): Tarun Kumar, Leo Blondel, Cassandra G. Extavour
Software Mentions: 4
Published: about 5 years ago
10.1016/j.celrep.2015.12.082
Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic Cells
Cited by: 157
Author(s): Iain C. Macaulay, Valentine Svensson, Charlotte Labalette, Lauren Ferreira, Fiona Hamey, Thierry Voet, Sarah A. Teichmann, Ana Cvejic
Software Mentions: 4
Published: almost 10 years ago
10.1016/j.cels.2019.11.006
Guiding the Refinement of Biochemical Knowledgebases with Ensembles of Metabolic Networks and Machine Learning
Cited by: 44
Author(s): Gregory L. Medlock, Jason A. Papin
Software Mentions: 4
Published: almost 6 years ago
10.3390/cells10092300
Quasar: Easy Machine Learning for Biospectroscopy
Cited by: 39
Author(s): Marko Toplak, Stuart Read, Christophe Sandt, Ferenc Borondics
Software Mentions: 4
Published: about 4 years ago
10.1093/cercor/bhx138
Attention Selectively Reshapes the Geometry of Distributed Semantic Representation
Cited by: 87
Author(s): Samuel A. Nastase, Andrew C. Connolly, Nikolaas N. Oosterhof, Yaroslav O. Halchenko, J. Swaroop Guntupalli, Matteo Visconti di Oleggio Castello, Jason Gors, M. Ida Gobbini, James V. Haxby
Software Mentions: 4
Published: over 8 years ago
10.2196/17364
Predicting Breast Cancer in Chinese Women Using Machine Learning Techniques: Algorithm Development
Cited by: 25
Author(s): Can Hou, Xiaorong Zhong, Ping He, Bin Xu, Sha Diao, Yi Fang, Hong Zheng, Jiayuan Li
Software Mentions: 4
Published: over 5 years ago
10.2196/19069
Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study
Cited by: 8
Author(s): Xiaorong Zhong, Ting Luo, Ling Deng, Pei Liu, Kejia Hu, Donghao Lü, Dan Zheng, Chunying Luo, Yuxin Xie, Jiayuan Li, Ping He, Tianjie Pu, Feng Ye, Hong Bu, Bo Fu, Hong Zheng
Software Mentions: 4
Published: almost 5 years ago
10.1155/2021/6668985
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19
Cited by: 20
Author(s): Nishant Jha, Deepak Prashar, Mamoon Rashid, Mohammad Shafiq, Razaullah Khan, Catalin I. Pruncu, Shams Tabrez Siddiqui, Manindra Kumar
Software Mentions: 4
Published: over 4 years ago
10.1038/s42003-020-01233-4
A gene prioritization method based on a swine multi-omics knowledgebase and a deep learning model
Cited by: 28
Author(s): Yuhua Fu, Jingya Xu, Zhenshuang Tang, Lu Wang, Yin Ding, Yu Fan, Dongdong Zhang, Fei Deng, Yanping Zhang, Haohao Zhang, Haiyan Wang, Wenhui Xing, Lilin Yin, Shilin Zhu, Mengjin Zhu, Mei Yu, Xinyun Li, Xiaolei Liu, Xiaohui Yuan, Zhao Song
Software Mentions: 4
Published: about 5 years ago
10.1107/S2052252520008830
Machine learning deciphers structural features of RNA duplexes measured with solution X-ray scattering
Cited by: 11
Author(s): Yen-Lin Chen, Lois Pollack
Software Mentions: 4
Published: about 5 years ago
10.1107/S2052252520000895
The predictive power of data-processing statistics
Cited by: 6
Author(s): M. Vollmar, James M. Parkhurst, Dominic Jaques, Arnaud Baslé, Garib N. Murshudov, David Waterman, Gwyndaf Evans
Software Mentions: 4
Published: over 5 years ago
10.1186/s40246-021-00357-w
Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease
Cited by: 2
Author(s): Sung-Jae Kim, Jong-Yeon Shin, Nak‐Jung Kwon, Chang-Uk Kim, Changhoon Kim, Chong Sik Lee, Jeong‐Sun Seo
Software Mentions: 4
Published: about 4 years ago
10.3390/s20174771
Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor Networks
Cited by: 4
Author(s): Hyun-Kyu Lim, Minho Cheong, Sungho Kang
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.19760
Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation
Cited by: 551
Author(s): Max A. Horlbeck, Luke A. Gilbert, Jacqueline E. Villalta, Brittany Susan Adamson, Ryan A. Pak, Yu‐Wen Chen, Alexander P. Fields, Chong Yon Park, Jacob E. Corn, Martin Kampmann, Jonathan S. Weissman
Software Mentions: 4
Published: about 9 years ago
10.3390/s20133645
OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning
Cited by: 24
Author(s): Weina Niu, Rong Cao, Xiaosong Zhang, Kangyi Ding, Kaimeng Zhang, Ting Li
Software Mentions: 4
Published: over 5 years ago
10.7554/eLife.38173
CaImAn an open source tool for scalable calcium imaging data analysis
Cited by: 495
Author(s): Andrea Giovannucci, Johannes Friedrich, Pat Gunn, Jérémie Kalfon, Brandon Brown, S. A. Koay, Jiannis Taxidis, Farzaneh Najafi, Jeffrey Gauthier, Pengcheng Zhou, Baljit S. Khakh, David W. Tank, Dmitri B. Chklovskii, Eftychios A. Pnevmatikakis
Software Mentions: 4
Published: almost 7 years ago
10.3390/s20092504
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar Weeds
Cited 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 Learning
Cited 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 Settings
Cited by: 35
Author(s): Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert
Software Mentions: 4
Published: almost 6 years ago
10.3389/fnbot.2019.00076
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression
Cited by: 3
Author(s): Lukas Dominique Josef Fiederer, Martin A. Volker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
Software Mentions: 4
Published: about 6 years ago
10.7554/eLife.63377
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
Cited by: 61
Author(s): James P Bohnslav, Nivanthika K Wimalasena, Kelsey J Clausing, Yu Dai, David A. Yarmolinsky, Tomás Cruz, Adam D Kashlan, M. Eugenia Chiappe, Lauren L. Orefice, Clifford J. Woolf, Christopher D. Harvey
Software Mentions: 4
Published: about 4 years ago
10.7554/eLife.57023
Retrieval practice facilitates memory updating by enhancing and differentiating medial prefrontal cortex representations
Cited by: 14
Author(s): Zhifang Ye, Liang Shi, Anqi Li, Chuansheng Chen, Gui Xue
Software Mentions: 4
Published: over 5 years ago
10.3390/s17010066
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition
Cited by: 29
Author(s): Yago Sáez, Alejandro Baldominos, Pedro Isasi
Software Mentions: 4
Published: almost 9 years ago
10.3390/s16060790
Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial
Cited by: 49
Author(s): Merima Kulin, Carolina Fortuna, Eli De Poorter, Dirk Deschrijver, Ingrid Moerman
Software Mentions: 4
Published: over 9 years ago
10.3389/fnins.2021.626723
Beta and Theta Oscillations Correlate With Subjective Time During Musical Improvisation in Ecological and Controlled Settings: A Single Subject Study
Cited by: 5
Author(s): Nicolas Farrugia, Alix Lamouroux, Christophe Rocher, Jules Bouvet, Giulia Lioi
Software Mentions: 4
Published: over 4 years ago
10.1038/s41598-021-98249-5
Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany
Cited by: 14
Author(s): Anastasia Kozyreva, Philipp Lorenz-Spreen, Stephan Lewandowsky, Paul Michael Garrett, Stefan M. Herzog, Thorsten Pachur, Ralph Hertwig
Software Mentions: 4
Published: about 4 years ago
10.3389/fnins.2017.00398
Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features
Cited by: 45
Author(s): Adrian Ion-Mărgineanu, G. Kocevar, Claudio Stamile, Diana M. Sima, Françoise Durand‐Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Software Mentions: 4
Published: over 8 years ago
10.1038/s41598-021-98423-9
Non-invasive diagnostic tool for Parkinson’s disease by sebum RNA profile with machine learning
Cited 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
10.3389/fonc.2021.699789
Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma
Cited by: 7
Author(s): Zenghui Qian, Lingling Zhang, Jie Hu, Shuguang Chen, Hongyan Chen, Huicong Shen, Fei Zheng, Yan-Nan Zang, Xuzhu Chen
Software Mentions: 4
Published: about 4 years ago
10.3389/fonc.2020.610513
Tumor Immune Microenvironment Characterization in Hepatocellular Carcinoma Identifies Four Prognostic and Immunotherapeutically Relevant Subclasses
Cited by: 15
Author(s): Xingxing Gao, Hechen Huang, Yübo Wang, Caixu Pan, Shengyong Yin, Lin Zhou, Shusen Zheng
Software Mentions: 4
Published: over 4 years ago
10.1371/journal.pone.0224521
On the development of sleep states in the first weeks of life
Cited by: 13
Author(s): Tomasz Wielek, Renata Del Giudice, Adelheid Lang, Małgorzata Wisłowska, Peter Ott, Manuel Schabus
Software Mentions: 4
Published: about 6 years ago
10.1007/s10278-017-9965-6
Toolkits and Libraries for Deep Learning
Cited 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
10.7554/eLife.59780
On the objectivity, reliability, and validity of deep learning enabled bioimage analyses
Cited by: 25
Author(s): Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R. von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B. Comeras, Anupam Sah, Victoria Schoeffler, Teresa M. Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren D. Lange, Ramon Tasan, Nicolas Singewald, Hans‐Christian Pape, Christoph M. Flath, Robert Blum
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.56890
Diverse homeostatic and immunomodulatory roles of immune cells in the developing mouse lung at single cell resolution
Cited 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 5 years ago
10.1038/s41598-021-95702-3
Geographic source estimation using airborne plant environmental DNA in dust
Cited by: 10
Author(s): Chelsea Lennartz, Joel Kurucar, Stephen Coppola, Janice Crager, Johanna Bobrow, Laura Bortolin, James C. Comolli
Software Mentions: 3
Published: about 4 years ago
10.1172/jci.insight.145704
Identification of a series of hair-cell MET channel blockers that protect against aminoglycoside-induced ototoxicity
Cited 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 4 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 4 years ago
10.1017/cts.2020.531
Developing image analysis pipelines of whole-slide images: Pre- and post-processing
Cited by: 12
Author(s): Byron H. Smith, Meyke Hermsen, Elizabeth R. Lesser, Deepak Ravichandar, Walter K. Kremers
Software Mentions: 3
Published: about 5 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 4 years ago
10.3390/s20174773
ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products
Cited 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 5 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: almost 10 years ago
10.3389/fonc.2018.00035
Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia
Cited by: 96
Author(s): Hubert S. Gabryś, Florian Buettner, Florian Sterzing, Henrik Hauswald, Mark Bangert
Software Mentions: 3
Published: over 7 years ago
10.1371/journal.pone.0250753
Automated analysis of bacterial flow cytometry data with FlowGateNIST
Cited by: 7
Author(s): David Ross
Software Mentions: 3
Published: about 4 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 Fibrillation
Cited by: 66
Author(s): Premanand Tiwari, Kathryn Colborn, Derek E. Smith, Fuyong Xing, Debashis Ghosh, Michael Rosenberg
Software Mentions: 3
Published: almost 6 years ago
10.1371/journal.pone.0183889
Elastic network model of learned maintained contacts to predict protein motion
Cited by: 13
Author(s): Ines Putz, Oliver Brock
Software Mentions: 3
Published: about 8 years ago
10.1186/s13321-017-0226-y
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
Cited by: 190
Author(s): Alexios Koutsoukas, Keith J. Monaghan, Xiaoli Li, Jun Huan
Software Mentions: 3
Published: over 8 years ago
10.1038/s41388-020-01614-3
Comprehensive characterisation of intronic mis-splicing mutations in human cancers
Cited by: 20
Author(s): Hyunchul Jung, Kang Seon Lee, Jung Kyoon Choi
Software Mentions: 3
Published: almost 5 years ago
10.3389/fninf.2013.00012
Toward open sharing of task-based fMRI data: the OpenfMRI project
Cited 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 13 years ago
10.7554/eLife.50469
Temporal chunking as a mechanism for unsupervised learning of task-sets
Cited by: 14
Author(s): Flora Bouchacourt, Stefano Palminteri, Etienne Koechlin, Srdjan Ostojic
Software Mentions: 3
Published: over 5 years ago
10.3389/fninf.2016.00049
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging
Cited by: 54
Author(s): Natalia Y. Bilenko, Jack L. Gallant
Software Mentions: 3
Published: almost 9 years ago
10.1371/journal.pone.0219452
Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structure
Cited by: 17
Author(s): Petr Popov, Ilya V. Bizin, M. Michael Gromiha, A. Kulandaisamy, Dmitrij Frishman
Software Mentions: 3
Published: over 6 years ago
10.1186/s13321-017-0243-x
eTOX ALLIES: an automated pipeLine for linear interaction energy-based simulations
Cited 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 8 years ago
10.3390/s20102809
Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods
Cited by: 152
Author(s): Muhammad Fazal Ijaz, Muhammad Attique, Youngdoo Son
Software Mentions: 3
Published: over 5 years ago
10.3390/s20092451
LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things
Cited by: 53
Author(s): Jin Wang, Yangning Tang, Shiming He, Changqing Zhao, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba
Software Mentions: 3
Published: over 5 years ago
10.3389/fphar.2021.660313
AI-Based Drug Discovery of TKIs Targeting L858R/T790M/C797S-Mutant EGFR in Non-small Cell Lung Cancer
Cited by: 7
Author(s): Gyeong Man Choi, Daegeun Kim, Junehwan Oh
Software Mentions: 3
Published: over 4 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 Carcinoma
Cited 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 5 years ago
10.1371/journal.pone.0165556
Is Neural Activity Detected by ERP-Based Brain-Computer Interfaces Task Specific?
Cited by: 6
Author(s): Markus Wenzel, Inês Almeida, Benjamin Blankertz
Software Mentions: 3
Published: about 9 years ago
10.1186/s13321-021-00537-9
QPHAR: quantitative pharmacophore activity relationship: method and validation
Cited by: 5
Author(s): Stefan Michael Kohlbacher, Thomas Langer, Thomas Seidel
Software Mentions: 3
Published: about 4 years ago
10.3390/s20082403
Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine Learning
Cited by: 3
Author(s): Jakub Browarczyk, Adam Kurowski, Bożena Kostek
Software Mentions: 3
Published: over 5 years ago