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

10.3390/metabo11080488
Investigating Global Lipidome Alterations with the Lipid Network Explorer
Cited by: 17
Author(s): Nikolai Köhler, Tim Rose, Lisa Falk, Josch Pauling
Software Mentions: 5
Published: over 4 years ago
10.3389/fpsyt.2016.00130
Development and Clinical Evaluation of an mHealth Application for Stress Management
Cited by: 26
Author(s): Brent Winslow, George L. Chadderdon, Sara Dechmerowski, David Jones, Solomon Kalkstein, Jennifer L. Greene, Philip Gehrman
Software Mentions: 5
Published: over 9 years ago
10.1371/journal.pone.0144820
CloudForest: A Scalable and Efficient Random Forest Implementation for Biological Data
Cited by: 2
Author(s): Ryan Bressler, Richard Kreisberg, Brady Bernard, John E. Niederhuber, Joseph G. Vockley, Ilya Shmulevich, Theo Knijnenburg
Software Mentions: 5
Published: almost 10 years ago
10.3389/fonc.2021.604584
Analysis of Gut Microbiome Using Explainable Machine Learning Predicts Risk of Diarrhea Associated With Tyrosine Kinase Inhibitor Neratinib: A Pilot Study
Cited by: 13
Author(s): Chi Wah Wong, Susan E. Yost, Jin Sung Lee, John D. Gillece, Megan Folkerts, Lauren Reining, Sarah K. Highlander, Zahra Eftekhari, Joanne Mortimer, Yuan Yuan
Software Mentions: 5
Published: over 4 years ago
10.3389/fnut.2020.577923
A Machine Learning Based Dose Prediction of Lutein Supplements for Individuals With Eye Fatigue
Cited by: 4
Author(s): Juntao Kan, Ao Li, Hong Zou, Liang Chen, Jun Du
Software Mentions: 5
Published: almost 5 years ago
10.1371/journal.pone.0246396
High SARS-CoV-2 load in the nasopharynx of patients with a mild form of COVID-19 is associated with clinical deterioration regardless of the hydroxychloroquine administration
Cited by: 4
Author(s): Alexey A. Komissarov, Ivan Molodtsov, O. Ivanova, Elena Maryukhnich, Svetlana S. Kudryavtseva, А. И. Мазус, E. L. Nikonov, Elena Vasilieva
Software Mentions: 5
Published: almost 5 years ago
10.3389/fonc.2020.531476
Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment
Cited by: 11
Author(s): Hao Wen, Jing Gong, Shengping Wang, Hui Zhu, Bin Zhao, Weijun Peng
Software Mentions: 5
Published: about 5 years ago
10.3390/nu13093289
Analyzing Type 2 Diabetes Associations with the Gut Microbiome in Individuals from Two Ethnic Backgrounds Living in the Same Geographic Area
Cited by: 13
Author(s): Manon Balvers, Mélanie Deschasaux, Bert‐Jan H. van den Born, Koos Zwinderman, Max Nieuwdorp, Evgeni Levin
Software Mentions: 5
Published: about 4 years ago
10.1186/s12859-020-3425-x
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images
Cited by: 26
Author(s): Katja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, Theodore Alexandrov
Software Mentions: 5
Published: over 5 years ago
10.3390/ijerph18189912
Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews
Cited by: 12
Author(s): Afiq Izzudin A. Rahim, Mohd Ismail Ibrahim, Kamarul Imran Musa, Sook-Ling Chua, Najib Majdi Yaacob
Software Mentions: 5
Published: about 4 years ago
10.7554/eLife.69068
Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology
Cited by: 26
Author(s): Joshua H. Siegle, Peter Ledochowitsch, Xiaoxuan Jia, Daniel Millman, Gabriel Koch Ocker, Shiella Caldejon, Linzy Casal, Andy Cho, Daniel J. Denman, Séverine Durand, Peter A. Groblewski, Gregg Heller, India Kato, Sara Kivikas, Jérôme Lecoq, Chelsea Nayan, Kiet Ngo, Philip R. Nicovich, Kat North, Tamina K Ramirez, Jackie Swapp, Xana Waughman, Ali Williford, Shawn R. Olsen, Christof Koch, Michael A. Buice, Saskia E. J. de Vries
Software Mentions: 5
Published: over 4 years ago
10.1128/mSystems.00913-20
Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms
Cited by: 23
Author(s): Nicole Pearcy, Yue Hu, Michelle Baker, Alexandre Maciel-Guerra, Ning Xue, Wei Wang, Jasmeet Kaler, Zong–Gen Peng, Fengqin Li, Tania Dottorini
Software Mentions: 5
Published: about 4 years ago
10.3389/fninf.2017.00025
Pypes: Workflows for Processing Multimodal Neuroimaging Data
Cited by: 10
Author(s): Alexandre Savio, Michael Schütte, Manuel Graña, Igor Yakushev
Software Mentions: 5
Published: over 8 years ago
10.3389/fninf.2019.00053
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images
Cited by: 52
Author(s): Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi
Software Mentions: 5
Published: over 6 years ago
10.1371/journal.pntd.0004549
Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients
Cited by: 52
Author(s): Andrés Colubri, Thomas Silver, Terrence Fradet, Kalliroi Retzepi, Benjamin N. Fry, Pardis C. Sabeti
Software Mentions: 5
Published: over 9 years ago
10.3389/frai.2020.559617
An Interpretable Predictive Model of Vaccine Utilization for Tanzania
Cited by: 1
Author(s): R. Hariharan, Johnna Sundberg, Giacomo Gallino, Ashley Schmidt, Drew Arenth, Suvrit Sra, Benjamin Fels
Software Mentions: 5
Published: about 5 years ago
10.3389/fninf.2018.00089
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
Cited by: 159
Author(s): Hananel Hazan, Daniel J. Saunders, Hassaan F. Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Róbert Kozma
Software Mentions: 5
Published: almost 7 years ago
10.2196/24073
A Natural Language Processing–Based Virtual Patient Simulator and Intelligent Tutoring System for the Clinical Diagnostic Process: Simulator Development and Case Study
Cited by: 14
Author(s): Raffaello Furlan, Mauro Gatti, Roberto Menè, Dana Shiffer, Chiara Marchiori, Alessandro Giaj Levra, Vincenzo Saturnino, Enrico Brunetta, Franca Dipaola
Software Mentions: 5
Published: over 4 years ago
10.1093/bioinformatics/btv593
Automatic generation of bioinformatics tools for predicting protein–ligand binding sites
Cited by: 12
Author(s): Yusuke Komiyama, Masaki Banno, Kokoro Ueki, Gul Saad, Kentaro Shimizu
Software Mentions: 5
Published: almost 10 years ago
10.1128/mSystems.00123-17
Machine Learning Leveraging Genomes from Metagenomes Identifies Influential Antibiotic Resistance Genes in the Infant Gut Microbiome
Cited by: 62
Author(s): Sumayah F. Rahman, Matthew R. Olm, Michael J. Morowitz, Jillian F. Banfield
Software Mentions: 5
Published: over 7 years ago
10.3390/toxins13090669
Force Mapping Study of Actinoporin Effect in Membranes Presenting Phase Domains
Cited by: 4
Author(s): Katia Cosentino, Edward Hermann, Nicolai von Kügelgen, Joseph D. Unsay, Uris Ros, Ana J. García‐Sáez
Software Mentions: 5
Published: about 4 years ago
10.1101/2020.12.21.423860
Analyzing the vast coronavirus literature with CoronaCentral
Cited by: 3
Author(s): Jake Lever, Russ B. Altman
Software Mentions: 5
Published: almost 5 years ago
10.1128/mSystems.00093-19
Randomized Lasso Links Microbial Taxa with Aquatic Functional Groups Inferred from Flow Cytometry
Cited by: 14
Author(s): Peter Rubbens, Marian L. Schmidt, Ruben Props, Bopaiah A. Biddanda, Nico Boon, Willem Waegeman, Vincent J. Denef
Software Mentions: 5
Published: about 6 years ago
10.3390/e22111198
FASTENER Feature Selection for Inference from Earth Observation Data
Cited by: 2
Author(s): Filip Koprivec, Klemen Kenda, Beno Šircelj
Software Mentions: 5
Published: about 5 years ago
10.3390/s20236712
PADL: A Modeling and Deployment Language for Advanced Analytical Services
Cited by: 6
Author(s): Josu Díaz-de-Arcaya, Raúl Miñón, Ana I. Torre-Bastida, Javier Del Ser, Aitor Almeida
Software Mentions: 5
Published: almost 5 years ago
10.1371/journal.pcbi.1009316
A probabilistic model for the ultradian timing of REM sleep in mice
Cited by: 6
Author(s): Sung-Ho Park, Justin Baik, June Seok Hong, Hanna Antila, Benjamin Kurland, Shinjae Chung, Franz Weber
Software Mentions: 5
Published: about 4 years ago
10.3389/frai.2021.680564
Topological Data Analysis Highlights Novel Geographical Signatures of the Human Gut Microbiome
Cited by: 3
Author(s): Eva Lymberopoulos, Giorgia Isabella Gentili, Muhannad Alomari, Nikhil Sharma
Software Mentions: 5
Published: about 4 years ago
10.1186/s40064-015-1356-1
Accurate mobile malware detection and classification in the cloud
Cited by: 26
Author(s): Xiaolei Wang, Yuexiang Yang, Yingzhi Zeng
Software Mentions: 5
Published: about 10 years ago
10.1186/s40168-021-01056-3
Anna Karenina and the subgingival microbiome associated with periodontitis
Cited by: 15
Author(s): Khaled Altabtbaei, Pooja Maney, Sukirth M. Ganesan, Shareef M Dabdoub, Haikady N. Nagaraja, Purnima Kumar
Software Mentions: 5
Published: over 4 years ago
10.1155/2021/5522729
Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques
Cited by: 13
Author(s): P. Varalakshmi, Vasumathi Narayanan, Sakthi Jaya Sundar Rajasekar
Software Mentions: 5
Published: over 4 years ago
10.1186/s12918-018-0547-0
BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data
Cited by: 30
Author(s): Sungjoon Park, Jung Min Kim, Weon Ho Shin, Sung Won Han, Minji Jeon, Hyun Jin Jang, Ik Soon Jang, Jaewoo Kang
Software Mentions: 5
Published: over 7 years ago
10.1242/dev.183855
Aging induces aberrant state transition kinetics in murine muscle stem cells
Cited by: 50
Author(s): Jacob C. Kimmel, Ara B. Hwang, Annarita Scaramozza, Wallace F. Marshall, Andrew S. Brack
Software Mentions: 5
Published: almost 6 years ago
10.1038/s41598-021-87064-7
Predicting the clinical management of skin lesions using deep learning
Cited by: 16
Author(s): Kumar Abhishek, Jeremy Kawahara, Ghassan Hamarneh
Software Mentions: 5
Published: over 4 years ago
10.3389/frai.2020.00013
Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology
Cited by: 5
Author(s): Francisco Bernardo, Michael Zbyszyński, Mick Grierson, Rebecca Fiebrink
Software Mentions: 5
Published: over 5 years ago
10.1016/j.csbj.2021.05.028
Distinguishing between PTEN clinical phenotypes through mutation analysis
Cited by: 14
Author(s): Stephanie Portelli, Lucy Barr, Alex Guimarães Cardoso de Sá, Douglas E. V. Pires, David B. Ascher
Software Mentions: 5
Published: almost 5 years ago
10.1099/mgen.0.000500
Identifying novel β-lactamase substrate activity through in silico prediction of antimicrobial resistance
Cited by: 7
Author(s): Kara K. Tsang, Finlay Maguire, Haley L. Zubyk, Sommer Chou, Arman Edalatmand, Gerard D. Wright, Robert G. Beiko, Andrew G. McArthur
Software Mentions: 5
Published: almost 5 years ago
10.1371/journal.pcbi.1005541
High-order epistasis shapes evolutionary trajectories
Cited by: 88
Author(s): Zachary Sailer, Michael J. Harms
Software Mentions: 5
Published: over 8 years ago
10.3389/frai.2020.536086
Attitudes Toward Multilingualism in Luxembourg. A Comparative Analysis of Online News Comments and Crowdsourced Questionnaire Data
Cited by: 5
Author(s): Christoph Purschke
Software Mentions: 5
Published: about 5 years ago
10.3390/jcm9082603
Prediction of Adverse Events in Stable Non-Variceal Gastrointestinal Bleeding Using Machine Learning
Cited by: 8
Author(s): Dong-Woo Seo, Hahn Yi, Beomhee Park, Youn-Jung Kim, Dong Hwan Jung, Ilsang Woo, Chang Hwan Sohn, Byuk Sung Ko, Namkug Kim, Won Young Kim
Software Mentions: 5
Published: about 5 years ago
10.3389/fgene.2019.01387
Analysis of Single-Cell Gene Pair Coexpression Landscapes by Stochastic Kinetic Modeling Reveals Gene-Pair Interactions in Development
Cited by: 7
Author(s): Cameron P. Gallivan, Honglei Ren, Elizabeth L. Read
Software Mentions: 5
Published: almost 6 years ago
10.3390/s19030521
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices
Cited by: 37
Author(s): Alejandro Baldominos, Alejandro Cervantes, Yago Sáez, Pedro Isasi
Software Mentions: 5
Published: almost 7 years ago
10.2196/13822
Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study
Cited by: 76
Author(s): Qandeel Tariq, Scott L. Fleming, Jessey Schwartz, Kaitlyn Dunlap, Conor K. Corbin, Peter Washington, Haik Kalantarian, Naila Zaman Khan, Gary L. Darmstadt, Dennis P. Wall
Software Mentions: 5
Published: over 6 years ago
10.7554/eLife.66018
Information flow, cell types and stereotypy in a full olfactory connectome
Cited by: 82
Author(s): Philipp Schlegel, Alexander Shakeel Bates, Tomke Stürner, Sridhar R. Jagannathan, Nikolas Drummond, Joseph Hsu, Laia Serratosa Capdevila, Alexandre Javier, Elizabeth C. Marin, Asa Barth-Maron, Imaan F M Tamimi, Feng Li, Gerald M. Rubin, Stephen M. Plaza, Marta Costa, Gregory Jefferis
Software Mentions: 5
Published: over 4 years ago
10.3390/nu12082308
Plasma Metabolites Related to Peripheral and Hepatic Insulin Sensitivity Are Not Directly Linked to Gut Microbiota Composition
Cited by: 6
Author(s): Annefleur M. Koopen, Nicolien C. de Clercq, Moritz V. Warmbrunn, Hilde Herrema, Mark Davids, Pieter F. de Groot, Ruud S. Kootte, Kristien E. Bouter, Max Nieuwdorp, Albert K. Groen, Andrei Prodan
Software Mentions: 5
Published: over 5 years ago
10.1186/s13321-021-00514-2
SANCDB: an update on South African natural compounds and their readily available analogs
Cited by: 22
Author(s): Bakary N'tji Diallo, Michael Glenister, Thommas M. Musyoka, Kevin A. Lobb, Özlem Tastan Bishop
Software Mentions: 5
Published: over 4 years ago
10.3389/fbioe.2020.00808
Riboflow: Using Deep Learning to Classify Riboswitches With ∼99% Accuracy
Cited by: 6
Author(s): Keshav Aditya R Premkumar, Ramit Bharanikumar, Ashok Palaniappan
Software Mentions: 5
Published: over 5 years ago
10.7554/eLife.63856
Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila
Cited by: 60
Author(s): Colleen N. McLaughlin, Maria Brbić, Qijing Xie, Tongchao Li, Felix Horns, Sai Saroja Kolluru, Justus M. Kebschull, David Vacek, Anthony Xie, Jiefu Li, Robert C. Jones, Jure Leskovec, Stephen R. Quake, Liqun Luo, Hongjie Li
Software Mentions: 5
Published: over 4 years ago
10.1038/s41598-021-95748-3
Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images
Cited by: 31
Author(s): Ye Rang Park, Young Jae Kim, Woong Ju, Kae Hyun Nam, Soonyung Kim, Kwang Gi Kim
Software Mentions: 5
Published: about 4 years ago
10.18632/oncotarget.23748
Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of <i>COX7A1</i> in embryonic and cancer cells
Cited by: 27
Author(s): Michael West, Ivan Labat, Hal Sternberg, Dana Larocca, Igor O. Nasonkin, Karen Chapman, Ratnesh Singh, Eugene Makarev, Alex Aliper, Andrey Kazennov, Andrey Alekseenko, Nikolai Shuvalov, Evgenia Cheskidova, Aleksandr Alekseev, Artemov Av, Evgeny Putin, Polina Mamoshina, Nikita Pryanichnikov, Jacob Larocca, Karen A. F. Copeland, Evgeny Izumchenko, Mikhail Korzinkin, Alex Zhavoronkov
Software Mentions: 5
Published: almost 8 years ago
10.1186/s12974-019-1500-x
Contribution of LTi and TH17 cells to B cell aggregate formation in the central nervous system in a mouse model of multiple sclerosis
Cited by: 18
Author(s): Verena Schropp, Jörn Rohde, Damiano M. Rovituso, Samir Jabari, Richa Bharti, Stefanie Küerten
Software Mentions: 5
Published: over 6 years ago
10.3390/jcdd8040044
Predicting Long-Term Mortality in TAVI Patients Using Machine Learning Techniques
Cited by: 12
Author(s): Marco Penso, Mauro Pepi, Laura Fusini, Manuela Muratori, C. Claudia, Valentina Mantegazza, Paola Gripari, Sarah Ali, Franco Fabbiocchi, Antonio L. Bartorelli, Enrico G. Caiani, Gloria Tamborini
Software Mentions: 5
Published: over 4 years ago
10.3390/ijms21197281
SPOTONE: Hot Spots on Protein Complexes with Extremely Randomized Trees via Sequence-Only Features
Cited by: 10
Author(s): António Preto, Irina S. Moreira
Software Mentions: 5
Published: about 5 years ago
10.1186/s13321-017-0232-0
Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set
Cited by: 207
Author(s): Eelke B. Lenselink, Niels ten Dijke, Brandon J. Bongers, George Papadatos, Herman van Vlijmen, Wojtek Kowalczyk, Adriaan P. IJzerman, Gerard J. P. van Westen
Software Mentions: 5
Published: about 8 years ago
10.1186/s13321-020-00420-z
COVER: conformational oversampling as data augmentation for molecules
Cited by: 19
Author(s): Jennifer Hemmerich, E. Asilar, Gerhard F. Ecker
Software Mentions: 5
Published: over 5 years ago
10.3389/fcell.2020.601145
Spontaneous Membrane Nanodomain Formation in the Absence or Presence of the Neurotransmitter Serotonin
Cited by: 11
Author(s): Anna Bochicchio, Astrid F. Brandner, Oskar Engberg, Daniel Huster, Rainer A. Böckmann
Software Mentions: 5
Published: almost 5 years ago
10.2196/15371
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study
Cited by: 21
Author(s): Derek Howard, Marta M. Maslej, Justin Lee, Jacob Ritchie, Geoffrey Woollard, Leon French
Software Mentions: 5
Published: over 5 years ago
10.7554/eLife.63450
Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons
Cited by: 28
Author(s): Qijing Xie, Maria Brbić, Felix Horns, Sai Saroja Kolluru, Robert C. Jones, Jiefu Li, Anay R Reddy, Anthony Xie, Sayeh Kohani, Zhuoran Li, Colleen N. McLaughlin, Tongchao Li, Chuanyun Xu, David Vacek, David J. Luginbuhl, Jure Leskovec, Stephen R. Quake, Liqun Luo, Hongjie Li
Software Mentions: 5
Published: almost 5 years ago
10.3389/fimmu.2018.02059
A Distinct Esophageal mRNA Pattern Identifies Eosinophilic Esophagitis Patients With Food Impactions
Cited by: 8
Author(s): Benjamin F. Sallis, Utkucan Acar, Kelsey Hawthorne, Stephen Babcock, Cynthia Kanagaratham, Jeffrey D. Goldsmith, Rachel Rosen, Jon A. Vanderhoof, Samuel Nurko, Edda Fiebiger
Software Mentions: 5
Published: almost 7 years ago
10.21105/joss.00934
q2-sample-classifier: machine-learning tools for microbiome classification and regression
Cited by: 105
Author(s): Nicholas A. Bokulich, Matthew R. Dillon, Evan Bolyen, Benjamin Kaehler, Gavin A. Huttley, J. Gregory Caporaso
Software Mentions: 5
Published: about 7 years ago
10.2196/15293
Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach
Cited by: 24
Author(s): Hannah Yao, Sina Rashidian, Xinyu Dong, Hongyi Duanmu, Richard N. Rosenthal, Fusheng Wang
Software Mentions: 5
Published: almost 5 years ago
10.3389/fimmu.2019.01716
Enhanced Immunomodulation in Inflammatory Environments Favors Human Cardiac Mesenchymal Stromal-Like Cells for Allogeneic Cell Therapies
Cited by: 3
Author(s): Falk Diedrichs, Meaghan Stolk, Karsten Jürchott, Marion Haag, Michael Sittinger, Martina Seifert
Software Mentions: 5
Published: over 6 years ago
10.1038/s41598-021-98423-9
Non-invasive diagnostic tool for Parkinson’s disease by sebum RNA profile with machine 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
10.1021/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
10.1186/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
10.3389/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
10.1186/s12967-020-02400-1
Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature
Cited by: 11
Author(s): German Osmak, Natalia Baulina, Philipp Koshkin, О. О. Фаворова
Software Mentions: 4
Published: over 5 years ago
10.1007/s10278-017-9965-6
Toolkits and Libraries for Deep 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
10.1186/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
10.3389/fncom.2020.580632
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains
Cited by: 11
Author(s): Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Zonglei Zhen, Jia Liu
Software Mentions: 4
Published: almost 5 years ago
10.3389/fgene.2019.01182
Graph Embedding Deep Learning Guides Microbial Biomarkers' Identification
Cited by: 19
Author(s): Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
Software Mentions: 4
Published: almost 6 years ago
10.3389/fgene.2020.00513
Estimating Conformational Traits in Dairy Cattle With DeepAPS: A Two-Step Deep Learning Automated Phenotyping and Segmentation Approach
Cited by: 13
Author(s): Jessica Nye, Laura M. Zingaretti, Miguel Pérez‐Enciso
Software Mentions: 4
Published: over 5 years ago
10.3389/fgene.2020.618478
ATACgraph: Profiling Genome-Wide Chromatin Accessibility From ATAC-seq
Cited by: 7
Author(s): Rita Jui-Hsien Lu, Yen-Ting Liu, Chih-Wei Huang, Ming‐Ren Yen, Chung‐Yen Lin, Pao‐Yang Chen
Software Mentions: 4
Published: almost 5 years ago
10.3389/fgene.2021.648329
Deep Learning Reveals Key Immunosuppression Genes and Distinct Immunotypes in Periodontitis
Cited by: 10
Author(s): Wanchen Ning, Aneesha Acharya, Zhenjie Sun, Anthony Chukwunonso Ogbuehi, Cong Liu, Shiting Hua, Qiyun Ou, Muhui Zeng, Xiangqiong Liu, Yupei Deng, Rainer Haak, Dirk Ziebolz, Gerhard Schmalz, George Pelekos, Yan Wang, Xianda Hu
Software Mentions: 4
Published: over 4 years ago
10.3389/fgene.2018.00682
Embedding of Genes Using Cancer Gene Expression Data: Biological Relevance and Potential Application on Biomarker Discovery
Cited by: 26
Author(s): Chi Tung Choy, Chi Hang Wong, Stephen L. Chan
Software Mentions: 4
Published: almost 7 years ago
10.3390/ijms22115866
LEDGF/p75 Is Required for an Efficient DNA Damage Response
Cited by: 8
Author(s): Victoria Liedtke, Christian Schröder, Dirk Roggenbuck, Romano Weiss, Ralf Stohwasser, Peter Schierack, Stefan Rödiger, Lysann Schenk
Software Mentions: 4
Published: over 4 years ago
10.3390/ijms22063079
A Novel Position-Specific Encoding Algorithm (SeqPose) of Nucleotide Sequences and Its Application for Detecting Enhancers
Cited by: 7
Author(s): Xuechen Mu, Yueying Wang, Meiyu Duan, Shuai Liu, Fēi Li, Xiuli Wang, Kai Zhang, Lan Huang, Fengfeng Zhou
Software Mentions: 4
Published: over 4 years ago
10.3389/fnhum.2019.00295
Theories and Methods for Labeling Cognitive Workload: Classification and Transfer Learning
Cited by: 18
Author(s): Ryan McKendrick, Bradley Feest, Amanda E. Harwood, Brian Falcone
Software Mentions: 4
Published: about 6 years ago
10.3390/ijms21239070
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification
Cited by: 45
Author(s): Nguyen Quoc Khanh Le, Duyen Thi, Truong Nguyen Khanh Hung, Luu Ho Thanh Lam, Chih-Min Lin, Ngan Thi Kim Nguyen
Software Mentions: 4
Published: almost 5 years ago
10.3390/ijms20194833
Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability
Cited by: 12
Author(s): Anke Wilm, Conrad Stork, Christoph Bauer, Andreas Schepky, Jochen Kühnl, Johannes Kirchmair
Software Mentions: 4
Published: about 6 years ago
10.3389/fimmu.2020.552596
Toward a Better Understanding of Bioassays for the Development of Biopharmaceuticals by Exploring the Structure-Antibody-Dependent Cellular Cytotoxicity Relationship in Human Primary Cells
Cited by: 2
Author(s): Sébastien Wieckowski, Cécile Avenal, Arturo V. Orjalo, Daniel Gygax, Florian Cymer
Software Mentions: 4
Published: about 5 years ago
10.7554/eLife.40162
Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes
Cited by: 8
Author(s): Felix Zhou, Carlos Ruiz‐Puig, Richard Owen, Michael J. White, Jens Rittscher, Xin Lü
Software Mentions: 4
Published: over 6 years ago
10.3389/fmed.2020.00177
Effects of Label Noise on Deep Learning-Based Skin Cancer Classification
Cited by: 31
Author(s): Achim Hekler, Jakob Nikolas Kather, Eva Krieghoff-Henning, Jochen Utikal, Friedegund Meier, Frank Friedrich Gellrich, Julius Upmeier zu Belzen, Lars E. French, Justin Gabriel Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Carola Berking, Markus V. Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Benjamin Izar, Roman C. Maron, Max Schmitt, Stefan Fröhling, Daniel B. Lipka, Titus J. Brinker
Software Mentions: 4
Published: over 5 years ago
10.3390/jpm11080686
JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease
Cited by: 5
Author(s): Sehwan Moon, Hyunju Lee
Software Mentions: 4
Published: over 4 years ago
10.3389/fbioe.2020.00959
What Has Been Trending in the Research of Polyhydroxyalkanoates? A Systematic Review
Cited by: 25
Author(s): Maciej Guzik, Tomasz Witko, Alexander Steinbüchel, Magdalena Wojnarowska, Mariusz Sołtysik, Sławomir Wawak
Software Mentions: 4
Published: about 5 years ago
10.3389/fcimb.2021.663068
Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral Carcinogenesis
Cited by: 7
Author(s): Jiung Wen Chen, Jer Horng Wu, Wei Fan Chiang, Yuh Ling Chen, Wei Wu, Li-Wha Wu
Software Mentions: 4
Published: about 4 years ago
10.7554/eLife.62865
Developmental hourglass and heterochronic shifts in fin and limb 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
10.7554/eLife.44889
Identification of compounds that rescue otic and myelination defects in the zebrafish adgrg6 (gpr126) mutant
Cited by: 19
Author(s): Elvira Diamantopoulou, Sarah Baxendale, Antonio de la Vega de León, Anzar Asad, Celia J. Holdsworth, Leïla Abbas, Valerie J. Gillet, Giselle R. Wiggin, Tanya T. Whitfield
Software Mentions: 4
Published: over 6 years ago
10.7554/eLife.56261
Training deep neural density estimators to identify mechanistic models of neural dynamics
Cited by: 99
Author(s): Pedro J. Gonçalves, Jan-Matthis Lueckmann, Michael Deistler, Marcel Nonnenmacher, Kaan Öcal, Giacomo Bassetto, Chaitanya Chintaluri, William F Podlaski, Sara A. Haddad, Tim P. Vogels, David S. Greenberg, Jakob H. Macke
Software Mentions: 4
Published: about 5 years ago
10.3390/s20174771
Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor Networks
Cited by: 4
Author(s): Hyun-Kyu Lim, Minho Cheong, Sungho Kang
Software Mentions: 4
Published: about 5 years ago
10.1109/tbdata.2020.3035935
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical 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
10.3390/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
10.18632/oncotarget.27632
Validated limited gene predictor for cervical cancer lymph node metastases
Cited by: 1
Author(s): Joshua Bloomstein, Rie von Eyben, Avis Chan, Erinn B. Rankin, Daniel R. Fregoso, Jing Wang-Chiang, Lisa Lee, Li Xie, Shannon MacLaughlan David, Henning Stehr, Mohammad Shahrokh Esfahani, Amato J. Giaccia, Elizabeth A. Kidd
Software Mentions: 4
Published: over 5 years ago
10.3389/fncel.2021.668230
Impaired Adaptation and Laminar Processing of the Oddball Paradigm in the Primary Visual Cortex of Fmr1 KO Mouse
Cited by: 4
Author(s): Alexandr Pak, Samuel T. Kissinger, Alexander A. Chubykin
Software Mentions: 4
Published: over 4 years ago
10.1001/jamanetworkopen.2019.10399
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing 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
10.1523/ENEURO.0378-20.2021
Time Course of Alterations in Adult Spinal Motoneuron Properties in the SOD1(G93A) Mouse Model of ALS
Cited by: 11
Author(s): Seoan Huh, C. J. Heckman, Marin Manuel
Software Mentions: 4
Published: over 4 years ago
10.3390/s20092504
Hyperspectral Classification of Cyperus esculentus Clones and Morphologically Similar 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
10.3390/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