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 3 years ago
5,918 dependent packages
43,777,417 downloads last month
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a.joly@ulg.ac.be
vanderplas@astro.washington.edu
bh00038@cvplws63.eps.surrey.ac.uk
ha258@cornell.edu
satra@mit.edu
zl2480@columbia.edu
pinto@alum.mit.edu
jz4721@nyu.edu
matteo.visconti.gr@dartmouth.edu
vighneshbirodkar@nyu.edu
robert.l.marchman@dartmouth.edu
rs2715@stern.nyu.edu
claire.savard@colorado.edu
aaaagrawal@iitb.ac.in
ihaque@cs.stanford.edu
rspeer@mit.edu
mluessi@nmr.mgh.harvard.edu
amitibo@tx.technion.ac.il
ericchang2017@u.northwestern.edu
jkarno@seas.upenn.edu
minghui.liu@trincoll.edu
m.lyra@sussex.ac.uk
andrew.knyazev@ucdenver.edu
lamb@cs.stanford.edu
camilo@neurostat.mit.edu
martino.sorbaro@ed.ac.uk
t.sheerman-chase@surrey.ac.uk
cgohlke@uci.edu
batulaa@drexel.edu
kcarnold@alum.mit.edu
apw@seas.harvard.edu
abie@alum.mit.edu
rossbar@berkeley.edu
alceballosa@unal.edu.co
fhoang7@berkeley.edu
hechen@seas.upenn.edu
stefan@sun.ac.za
deepyaman.datta@utexas.edu
rebekah.kim@columbia.edu
shubham.bhardwaj2015@vit.ac.in
slama@berkeley.edu
nisingh@wharton.upenn.edu
kanikas3@vt.edu
jdlabal@stanford.edu
kjells@uw.edu
markus.loning.17@ucl.ac.uk
k_nzw@klis.tsukuba.ac.jp
dkirkby@uci.edu
balawson@bu.edu
c.brummitt@columbia.edu
choo8@illinois.edu
giorgio.patrini@anu.edu.au
shangwuy@andrew.cmu.edu
rafael.possas@sydney.edu.au
olsonran@msu.edu
brian.mcfee@nyu.edu
naj273@nyu.edu
dgrusak@trinity.edu
emd222@cornell.edu
voth0@sewanee.edu
trishnendu.dd2014@cs.iiests.ac.in
apeng@berkeley.edu
boucher@cs.umass.edu
lunt@ctbp.ucsd.edu
bakhbari@mgh.harvard.edu
piraka@brandeis.edu
neal.lathia@cl.cam.ac.uk
razhoshia@post.bgu.ac.il
michal.romaniuk06@ic.ac.uk
m.batchkarov@sussex.ac.uk
lemin@cs.colostate.edu
rudvlf0413@korea.ac.kr
vredev16@msu.edu
raschkas@msu.edu
ali.baharev@univie.ac.at
a.krasoulis@sms.ed.ac.uk
arokem@berkeley.edu
gabrielvr@al.insper.edu.br
eric.sanchez1234@email.bakersfieldcollege.edu
fcchou@stanford.edu
rofuyu@cs.utexas.edu
glemaitre@visor.udg.edu
naoyaiijima@hiroshima-u.ac.jp
ayushgup@iitk.ac.in
joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au
jam7w2@mail.missouri.edu
j.hale09@imperial.ac.uk
tw991@nyu.edu
patel_zeel@iitgn.ac.in
vincent.lostanlen@nyu.edu
stvjc@channing.harvard.edu
ritchieng@u.nus.edu
bansalsi@usc.edu
rbarnes@umn.edu
rrohan@cs.cmu.edu
liutong.zhou@columbia.edu
mdh386@nyu.edu
mlf419@nyu.edu
shreyave@usc.edu
jin.siy@northeastern.edu
samuel_ainsworth@brown.edu
cwijes1@lsu.edu
wadawson@ucdavis.edu
xinyuliu@umich.edu
rz258@cornell.edu
daniel.mallia21@myhunter.cuny.edu
argriffi@ncsu.edu
filipj@umich.edu
kms15@case.edu
sam.dixon@berkeley.edu
khong008@e.ntu.edu.sg
jnelso11@gmu.edu
jclawton@umich.edu
jaehyunahn@sogang.ac.kr
ijpulidos@unal.edu.co
gstupp@scripps.edu
justhube@umich.edu
noamkeidar@campus.technion.ac.il
nityamd@nyu.edu
css459@nyu.edu
alyee@ucsd.edu
andersk@mit.edu
dhanus@mit.edu
coreylevinson@uchicago.edu
cailean.carter@quadram.ac.uk
bral4884@colorado.edu
dschult@colgate.edu
dpwe@ee.columbia.edu
dylan.cashman@tufts.edu
pawelsendyk@berkeley.edu
qzhang90@gatech.edu
mhaberla@calpoly.edu
saketk@student.unimelb.edu.au
eunjikim@dm.snu.ac.kr
erinrhof@uw.edu
ksivaman@purdue.edu
garmstrong@ucsd.edu
konstantin.shmelkov@polytechnique.edu
e175774@ie.u-ryukyu.ac.jp
hermidal@cs.umd.edu
jbearer@hmc.edu
jmarin@csail.mit.edu
Repository Activity:
Repository Owner:
scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
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+2840
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142 contributors with educational email addresses -
+20
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Repository owned by academic institution -
+15
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Repository owned by research institution -
+6
Science terms in README
3 scientific terms found in README
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.1186/s12911-019-0978-6
Representation learning in intraoperative vital signs for heart failure risk predictionCited by: 12
Author(s): Yuwen Chen, Baolian Qi
Software Mentions: 2
Published: almost 7 years ago
10.7554/eLife.67403
Information content differentiates enhancers from silencers in mouse photoreceptorsCited by: 10
Author(s): Ryan Z. Friedman, David M Granas, Connie A. Myers, Joseph C. Corbo, Barak A. Cohen, Michael A. White
Software Mentions: 2
Published: about 5 years ago
10.1186/s12859-018-2082-9
DecoFungi: a web application for automatic characterisation of dye decolorisation in fungal strainsCited by: 3
Author(s): César Domínguez, Jónathan Heras, Eloy Mata, Vico Pascual
Software Mentions: 2
Published: over 8 years ago
10.1038/s41598-021-82612-7
Explainable drug sensitivity prediction through cancer pathway enrichmentCited by: 16
Author(s): Yi-Ching Tang, Assaf Gottlieb
Software Mentions: 2
Published: almost 6 years ago
10.3390/ijerph17051498
Characterization of Esophageal Cancer and Its Association with Influencing Factors in Guangzhou City, ChinaCited by: 4
Author(s): Cheng Cui, Dong Hua, Hongyan Ren, Guozhen Lin, Lu Zhao
Software Mentions: 2
Published: over 6 years ago
10.1186/s13321-020-00435-6
kGCN: a graph-based deep learning framework for chemical structuresCited by: 49
Author(s): Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno
Software Mentions: 2
Published: over 6 years ago
10.3390/molecules24102025
Applications of Photonics in Agriculture Sector: A ReviewCited by: 26
Author(s): Tan Jin Yeong, Pin Jern Ker, Kuen Yao Lau, M. A. Hannan, Shirley Gee Hoon Tang
Software Mentions: 2
Published: over 7 years ago
10.1186/s13321-020-00443-6
QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hoppingCited by: 25
Author(s): Ctibor Škuta, Isidro Cortés-Ciriano, Wim Dehaen, Pavel Kříž, Gerard J. P. van Westen, Igor V. Tetko, Andreas Bender, Daniel Svozil
Software Mentions: 2
Published: over 6 years ago
10.1186/s12911-020-01217-8
Evaluation of standard and semantically-augmented distance metrics for neurology patientsCited by: 5
Author(s): Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch, Gayla R. Olbricht, Sima Azizi, Blaine Allen
Software Mentions: 2
Published: about 6 years ago
10.3390/cancers13153723
Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning ModelsCited by: 5
Author(s): Xiaoyang Liu, Farhad Maleki, N. Moorthy Muthukrishnan, Katie Ovens, Shao Hui Huang, Almudena Pérez Lara, Griselda Romero-Sánchez, Sahir Bhatnagar, A. Chatterjee, Marc Pusztaszeri, Alan Spatz, Gerald Batist, Sam Payabvash, Stefan P. Haider, Amit Mahajan, Caroline Reinhold, Behzad Forghani, Eugene Yu, Reza Forghani
Software Mentions: 2
Published: over 5 years ago
10.1093/bioinformatics/bty565
Statistical tests for detecting variance effects in quantitative trait studiesCited by: 24
Author(s): Bianca Dumitrascu, Gregory Darnell, Julien Ayroles, Barbara E. Engelhardt
Software Mentions: 2
Published: over 8 years ago
10.1038/s41598-021-83424-5
Assisting scalable diagnosis automatically via CT images in the combat against COVID-19Cited by: 21
Author(s): Bohan Liu, Pan Liu, Lutao Dai, Yanlin Yang, Peng Xie, Yiqing Tan, Jicheng Du, Wei Shan, Chenghui Zhao, Qin Zhong, Xixiang Lin, Xizhou Guan, Ning Xing, Yuhui Sun, Wenjun Wang, Zhibing Zhang, Xinping Fu, Yanqing Fan, Meifang Li, Na Zhang, Lin Li, Yaou Liu, Lin Xu, Juan Du, Zhenhua Zhao, Xuelong Hu, Weipeng Fan, Rongpin Wang, Chongchong Wu, Yongkang Nie, Liuquan Cheng, Lin Ma, Zongren Li, Jia Qian, Minchao Liu, Huayuan Guo, Gao Huang, Haipeng Shen, Liang Zhang, Peifang Zhang, Gang Guo, Hao Li, Weimin An, Zhou Jian-xin, Kunlun He
Software Mentions: 2
Published: over 5 years ago
10.3389/fninf.2018.00055
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network ConnectivityCited by: 15
Author(s): Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun
Software Mentions: 2
Published: about 8 years ago
10.1186/s13321-021-00487-2
MAIP: a web service for predicting blood‐stage malaria inhibitorsCited by: 14
Author(s): Nicolas Bosc, Eloy Félix, Ricardo Arcila, David Méndez, Martin Saunders, Darren V. S. Green, Jason Ochoada, Anang A. Shelat, Éric Martin, Preeti Iyer, Ola Engkvist, Andreas Verras, James Duffy, Jeremy N. Burrows, Mark Gardner, Andrew R. Leach
Software Mentions: 2
Published: over 5 years ago
10.1093/bioinformatics/bty915
wgd—simple command line tools for the analysis of ancient whole-genome duplicationsCited by: 148
Author(s): Arthur Zwaenepoel, Yves Van de Peer
Software Mentions: 2
Published: about 8 years ago
10.1186/s13321-021-00507-1
SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptorsCited by: 17
Author(s): Surendra Kumar, Mi‐Hyun Kim
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-84504-2
Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrenceCited by: 13
Author(s): Young Min Park, Byung‐Joo Lee
Software Mentions: 2
Published: over 5 years ago
10.3390/bioengineering8060074
Modeling Focused-Ultrasound Response for Non-Invasive Treatment Using Machine LearningCited by: 3
Author(s): Tariq M. Arif, Zhiming Ji, Md Adilur Rahim, Bharath Babu Nunna
Software Mentions: 2
Published: over 5 years ago
10.1186/s12859-016-0895-y
CP-CHARM: segmentation-free image classification made accessibleCited by: 53
Author(s): Virginie Uhlmann, Shantanu Singh, Anne E. Carpenter
Software Mentions: 2
Published: almost 11 years ago
10.1186/s12911-020-01358-w
A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarctionCited by: 12
Author(s): Zhen Zhang, Hang Qiu, Weihao Li, Yu‐Cheng Chen
Software Mentions: 2
Published: almost 6 years ago
10.1186/s12911-021-01623-6
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformersCited by: 17
Author(s): Yukihiko Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Tsuneo Yoshikawa, Naoto Hayashi, Osamu Abe
Software Mentions: 2
Published: about 5 years ago
10.3390/ijerph17113763
An Integrated Approach for Spatio-Temporal Cholera Disease Hotspot Relation Mining for Public Health Management in Punjab, PakistanCited by: 7
Author(s): Fatima Khalique, Shoab Ahmed Khan, Wasi Haider Butt, Irum Matloob
Software Mentions: 2
Published: over 6 years ago
10.1186/s13040-017-0154-4
PMLB: a large benchmark suite for machine learning evaluation and comparisonCited by: 217
Author(s): Randal S. Olson, William La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
Software Mentions: 2
Published: almost 9 years ago
10.1186/s12859-018-2197-z
Automatic extraction of informal topics from online suicidal ideationCited by: 21
Author(s): Reilly N. Grant, David Kucher, Ana M. León, Jonathan Gemmell, Daniela Raicu, Samah Jamal Fodeh
Software Mentions: 2
Published: over 8 years ago
10.1038/s41598-021-87455-w
Motor and sensory features successfully decode autism spectrum disorder and combine with the original RDoC framework to boost diagnostic classificationCited by: 12
Author(s): Laura Harrison, Anastasiya Kats, Emily Kilroy, Christiana Butera, Aditya Jayashankar, Ümit Keleş, Lisa Aziz‐Zadeh
Software Mentions: 2
Published: over 5 years ago
10.1186/s13321-021-00541-z
CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensemblesCited by: 11
Author(s): Abdul Karim, Matthew Lee, Thomas Balle, Abdul Sattar
Software Mentions: 2
Published: about 5 years ago
10.3389/fcell.2021.605977
Prediction of Lymph-Node Metastasis in Cancers Using Differentially Expressed mRNA and Non-coding RNA SignaturesCited by: 4
Author(s): Shihua Zhang, Cheng Zhang, Jinke Du, Rui Zhang, Shixiong Yang, Bo Li, Pingping Wang, Wensheng Deng
Software Mentions: 2
Published: almost 6 years ago
10.1186/s13321-021-00542-y
How can SHAP values help to shape metabolic stability of chemical compounds?Cited by: 26
Author(s): Agnieszka Wojtuch, Rafał Jankowski, Sabina Podlewska
Software Mentions: 2
Published: about 5 years ago
10.1371/journal.pone.0207385
Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI dataCited by: 16
Author(s): Javier Rasero, Hannelore Aerts, Marlis Ontivero Ortega, Jesús M. Cortes, Sebastiano Stramaglia, Daniele Marinazzo
Software Mentions: 2
Published: about 8 years ago
10.1038/s41408-020-0322-5
Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphomaCited by: 19
Author(s): Victor Bobée, Fanny Drieux, Vinciane Marchand, Vincent Sater, Liana Veresezan, Jean‐Michel Picquenot, Pierre‐Julien Viailly, Marie‐Delphine Lanic, Mathieu Viennot, Élodie Bohers, Lucie Obéric, Christiane Copie‐Bergman, Thierry Jo Molina, Philippe Gaulard, Corinne Haı̈oun, Gilles Salles, Hervé Tilly, Fabrice Jardin, Philippe Ruminy
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-021-87748-0
A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsyCited by: 30
Author(s): Yoshiki Naito, Masayuki Tsuneki, Noriyoshi Fukushima, Yutaka Koga, Michiyo Higashi, Kenji Notohara, Shinichi Aishima, Nobuyuki Ohike, Takuma Tajiri, Hiroshi Yamaguchi, Yuki Fukumura, Masaru Kojima, Kenichi Hirabayashi, Yusuke Hamada, Tomoko Norose, Keita Kai, Yuko Omori, Aoi Sukeda, Hirotsugu Noguchi, Kaori Uchino, Junya Itakura, Yoshinobu Okabe, Yuichi Yamada, Jun Akiba, Fahdi Kanavati, Yoshinao Oda, Toru Furukawa, Hirohisa Yano
Software Mentions: 2
Published: over 5 years ago
10.3390/jcm8050668
A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric SurgeryCited by: 42
Author(s): Yang Cao, Xin Fang, Johan Ottosson, Erik Näslund, Erik Stenberg
Software Mentions: 2
Published: over 7 years ago
10.1186/s13040-021-00270-x
Comparison of 16S and whole genome dog microbiomes using machine learningCited by: 3
Author(s): Scott A. Lewis, Andrea K. Nash, Qinghong Li, Tae-Hyuk Ahn
Software Mentions: 2
Published: about 5 years ago
10.3390/jcm8071050
Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk PredictionCited by: 40
Author(s): Meghana Padmanabhan, Pengyu Yuan, Govind Chada, Hien Van Nguyen
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pone.0247980
Association between meteorological factors and the prevalence dynamics of Japanese encephalitisCited by: 13
Author(s): Taotian Tu, Kai Xu, Lei Xu, Yuan Gao, Ying Zhou, Yaming He, Yang Liu, Qiyong Liu, Ji HengQing, Wenge Tang
Software Mentions: 2
Published: over 5 years ago
10.3390/jcm8111770
An Association of Gut Microbiota with Different Phenotypes in Chinese Patients with Rheumatoid ArthritisCited by: 59
Author(s): Hung‐Ting Chiang, Jiànróng Lǐ, Chun-Chi Liu, Po‐Yu Liu, Hsin‐Hua Chen, Yiming Chen, Joung‐Liang Lan, Der‐Yuan Chen
Software Mentions: 2
Published: about 7 years ago
10.3390/molecules24152752
Revisiting the Allosteric Regulation of Sodium Cation on the Binding of Adenosine at the Human A2A Adenosine Receptor: Insights from Supervised Molecular Dynamics (SuMD) SimulationsCited by: 7
Author(s): Maicol Bissaro, Giovanni Bolcato, Giuseppe Deganutti, Mattia Sturlese, Stefano Moro
Software Mentions: 2
Published: over 7 years ago
10.3390/jcm9030658
An Autoencoder and Machine Learning Model to Predict Suicidal Ideation with Brain Structural ImagingCited by: 8
Author(s): Jun‐Cheng Weng, Tung-Yeh Lin, Yuan-Hsiung Tsai, Man Teng Cheok, Yi-Peng Eve Chang, Vincent Chin‐Hung Chen
Software Mentions: 2
Published: over 6 years ago
10.3390/jcm9051250
Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived ParametersCited by: 12
Author(s): Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Fabian Lohöfer, F Harder, Anna Melissa Schlitter, Alexander Muckenhuber, Katja Steiger, Rebekka Schirren, Helmut Frieß, Roland M. Schmid, Wilko Weichert, Marcus R. Makowski, Rickmer Braren
Software Mentions: 2
Published: over 6 years ago
10.1107/S2059798319009392
Sequence assignment for low-resolution modelling of protein crystal structuresCited by: 22
Author(s): Grzegorz Chojnowski, Joana Pereira, Victor S. Lamzin
Software Mentions: 2
Published: over 7 years ago
10.3389/fneur.2021.670944
A Set of Eight Key Questions Helps to Classify Common Vestibular Disorders—Results From the DizzyReg Patient RegistryCited by: 7
Author(s): Ralf Strobl, Michael Grözinger, Andreas Zwergal, Doreen Huppert, Filipp Filippopulos, Eva Grill
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-021-92475-7
Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumoniaCited by: 10
Author(s): Gregor Lichtner, Felix Balzer, Stefan Haufe, Niklas Giesa, Fridtjof Schiefenhövel, Malte L Schmieding, Carlo Jurth, Wolfgang Kopp, Altuna Akalin, Stefan Schaller, Steffen Weber‐Carstens, Claudia Spies, Falk von Dincklage
Software Mentions: 2
Published: over 5 years ago
10.3389/fcimb.2020.616814
Tonsil Mycobiome in PFAPA (Periodic Fever, Aphthous Stomatitis, Pharyngitis, Adenitis) Syndrome: A Case-Control StudyCited by: 0
Author(s): Mysore V. Tejesvi, Terhi Tapiainen, Petri Vänni, Matti Uhari, Marko Suokas, Ulla Lantto, Petri Koivunen, Marjo Renko
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-021-93070-6
Random forest classification for predicting lifespan-extending chemical compoundsCited by: 14
Author(s): Sofia Kapsiani, Brendan J. Howlin
Software Mentions: 2
Published: over 5 years ago
10.3390/molecules24040743
Machine Learning Approach for Determining the Formation of β-Lactam Antibiotic Complexes with Cyclodextrins Using Multispectral AnalysisCited by: 5
Author(s): Mikołaj Mizera, Kornelia Lewandowska, Andrzej Miklaszewski, Judyta Cielecka‐Piontek
Software Mentions: 2
Published: over 7 years ago
10.3389/fneur.2020.00007
Prediction of Vestibular Dysfunction by Applying Machine Learning Algorithms to Postural InstabilityCited by: 19
Author(s): Teru Kamogashira, Chisato Fujimoto, Makoto Kinoshita, Yuichiro Kikkawa, Tatsuya Yamasoba, Shinichi Iwasaki
Software Mentions: 2
Published: almost 7 years ago
10.1016/j.molcel.2018.11.031
Target-Specific Precision of CRISPR-Mediated Genome EditingCited by: 165
Author(s): Anob M. Chakrabarti, Tristan Henser-Brownhill, Josep Monserrat, Anna R. Poetsch, Nicholas M. Luscombe, Paola Scaffidi
Software Mentions: 2
Published: almost 8 years ago
10.1038/s41598-021-93608-8
Deep learning identifies antigenic determinants of severe SARS-CoV-2 infection within T-cell repertoiresCited by: 8
Author(s): John-William Sidhom, Alexander S. Baras
Software Mentions: 2
Published: over 5 years ago
10.3390/jcm10050931
SARS-CoV-2 Is a Culprit for Some, but Not All Acute Ischemic Strokes: A Report from the Multinational COVID-19 Stroke Study GroupCited by: 16
Author(s): Shima Shahjouei, Michelle Anyaehie, Eric Koza, Georgios Tsivgoulis, Soheil Naderi, Ashkan Mowla, Venkatesh Avula, Alireza Vafaei Sadr, Durgesh Chaudhary, Ghasem Farahmand, Christoph J. Griessenauer, Mahmoud Reza Azarpazhooh, Debdipto Misra, Li Jiang, Vida Abedi, Ramin Zand
Software Mentions: 2
Published: over 5 years ago
10.3389/fneur.2020.00886
Multi-Dimensional, Short-Timescale Quantification of Parkinson's Disease and Essential Tremor Motor DysfunctionCited by: 5
Author(s): John Sanderson, James Yu, David D. Liu, Daniel E Amaya, Peter M Lauro, Anelyssa D’Abreu, Umer Akbar, Shane Lee, Wael F. Asaad
Software Mentions: 2
Published: about 6 years ago
10.1016/j.bpj.2020.04.032
Protein-Folding Analysis Using Features Obtained by Persistent HomologyCited by: 12
Author(s): Takashi Ichinomiya, Ippei Obayashi, Yasuaki Hiraoka
Software Mentions: 2
Published: over 6 years ago
10.3390/s20205936
Digital Twin Coaching for Physical Activities: A SurveyCited by: 24
Author(s): Rogelio Gámez Díaz, Qingtian Yu, Yezhe Ding, Fedwa Laamarti, Abdulmotaleb El Saddik
Software Mentions: 2
Published: about 6 years ago
10.3390/jcm10153308
Usefulness of a Hepatitis B Surface Antigen-Based Model for the Prediction of Functional Cure in Patients with Chronic Hepatitis B Virus Infection Treated with Nucleos(t)ide Analogues: A Real-World StudyCited by: 5
Author(s): Gian Paolo Caviglia, Yulia Troshina, Enrico Garro, M. Gesualdo, Serena Aneli, Giovanni Birolo, Fabrizia Pittaluga, Rossana Cavallo, Giorgio Maria Saracco, Alessia Ciancio
Software Mentions: 2
Published: over 5 years ago
10.3389/fchem.2019.00315
Ligand Binding Induces Agonistic-Like Conformational Adaptations in Helix 12 of Progesterone Receptor Ligand Binding DomainCited by: 5
Author(s): Lihe Zheng, Kelin Xia, Yuguang Mu
Software Mentions: 2
Published: over 7 years ago
10.3390/s20216136
Centre of Pressure Estimation during Walking Using Only Inertial-Measurement Units and End-To-End Statistical ModellingCited by: 4
Author(s): Janez Podobnik, David Kraljić, Matjaž Zadravec, Marko Munih
Software Mentions: 2
Published: about 6 years ago
10.3390/s20216110
Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological FeaturesCited by: 17
Author(s): Elmer Jeto Gomes Ataide, Ponugoti Nikhila, Alfredo Illanes, Simone Schenke, Michael C. Kreißl, Michael Friebe
Software Mentions: 2
Published: about 6 years ago
10.3390/antibiotics9120861
Comprehensive Statistical Evaluation of Etest®, UMIC®, MicroScan and Disc Diffusion versus Standard Broth Microdilution: Workflow for an Accurate Detection of Colistin-Resistant and Mcr-Positive E. coliCited by: 8
Author(s): Isidro García-Meniño, Pilar Lumbreras, Pablo Valledor, Dafne Díaz-Jiménez, Luz Lestón, Javier Fernández, Azucena Mora
Software Mentions: 2
Published: almost 6 years ago
10.3390/ijerph17145115
Forecasting Covid-19 Dynamics in Brazil: A Data Driven ApproachCited by: 48
Author(s): Igor Gadelha Pereira, Joris Guérin, Andouglas Gonçalves Silva Júnior, Gabriel S. Garcia, Prisco Piscitelli, Alessandro Miani, Cosimo Distante, Luiz Marcos Garcia Gonçalves
Software Mentions: 2
Published: over 6 years ago
10.3389/fneur.2019.00996
The Pragmatic Classification of Upper Extremity Motion in Neurological Patients: A PrimerCited by: 8
Author(s): Avinash Parnandi, Jasim Uddin, Dawn Nilsen, Heidi M. Schambra
Software Mentions: 2
Published: about 7 years ago
10.1007/s10822-020-00300-6
Enhancing reaction-based de novo design using a multi-label reaction class recommenderCited by: 12
Author(s): Gian Marco Ghiandoni, Michael J. Bodkin, Beining Chen, Dimitar Hristozov, James E. A. Wallace, James Webster, Valerie J. Gillet
Software Mentions: 2
Published: over 6 years ago
10.1186/s12859-020-03581-8
AllesTM: predicting multiple structural features of transmembrane proteinsCited by: 3
Author(s): Peter Hönigschmid, Stephan Breimann, Martina Weigl, Dmitrij Frishman
Software Mentions: 2
Published: over 6 years ago
10.1186/s12859-018-2021-9
LocText: relation extraction of protein localizations to assist database curationCited by: 80
Author(s): Juan Miguel Cejuela, Shrikant Vinchurkar, Tatyana Goldberg, Madhukar Sollepura Prabhu Shankar, Ashish Baghudana, Aleksandar Bojchevski, Carsten Uhlig, André Ofner, Pandu Raharja-Liu, Lars Juhl Jensen, Burkhard Rost
Software Mentions: 2
Published: almost 9 years ago
10.3390/s20236847
A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack PropagationCited by: 12
Author(s): Thomas Fleet, Khangamlung Kamei, Feiyang He, Muhammad Ahmed Khan, Kamran A. Khan, Andrew Starr
Software Mentions: 2
Published: almost 6 years ago
10.3390/s20237000
City Data Hub: Implementation of Standard-Based Smart City Data Platform for InteroperabilityCited by: 19
Author(s): SeungMyeong Jeong, Seongyun Kim, Jae-Ho Kim
Software Mentions: 2
Published: almost 6 years ago
10.3390/s20247116
Applying Convolutional Neural Networks to Predict the ICD-9 Codes of Medical RecordsCited by: 9
Author(s): Jia-Lien Hsu, Teng-Jie Hsu, Chung-Ho Hsieh, Anandakumar Singaravelan
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pone.0232376
Deep learning in rare disease. Detection of tubers in tuberous sclerosis complexCited by: 20
Author(s): Iván Sánchez Fernández, Edward Yang, Paola Calvachi, Marta Amengual‐Gual, Joyce Wu, Darcy A. Krueger, Hope Northrup, Martina Bebin, Mustafa Şahin, Kun‐Hsing Yu, Jurriaan M. Peters
Software Mentions: 2
Published: over 6 years ago
10.3390/s20247242
Forecast Model Update Based on a Real-Time Data Processing Lambda Architecture for Estimating Partial Discharges in HydrogeneratorCited by: 0
Author(s): Fábio Henrique Pereira, Francisco Elânio Bezerra, Diego Oliva, Gilberto Francisco Martha de Souza, Ivan Eduardo Chabu, Josemir Coelho Santos, Shigueru Nagao, Sílvio Ikuyo Nabeta
Software Mentions: 2
Published: almost 6 years ago
10.1007/s10822-020-00349-3
DeepCOMO: from structure-activity relationship diagnostics to generative molecular design using the compound optimization monitor methodologyCited by: 6
Author(s): Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 2
Published: about 6 years ago
10.3389/fneur.2019.00655
Quantifying the Confidence in fMRI-Based Language Lateralisation Through Laterality Index DeconstructionCited by: 7
Author(s): Martin Wegrzyn, Markus Mertens, Christian G. Bien, Friedrich G. Woermann, Kirsten Labudda
Software Mentions: 2
Published: over 7 years ago
10.1002/jcc.23643
Visualizing energy landscapes with metric disconnectivity graphsCited by: 24
Author(s): Lewis C. Smeeton, Mark T. Oakley, Roy L. Johnston
Software Mentions: 2
Published: over 12 years ago
10.1371/journal.pone.0250458
Increasing prediction accuracy of pathogenic staging by sample augmentation with a GANCited by: 8
Author(s): Chang‐Hyuk Kwon, Sangjin Park, Soohyun Ko, Jaegyoon Ahn
Software Mentions: 2
Published: over 5 years ago
10.3390/ijerph17249471
Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-Sequence ModelCited by: 6
Author(s): Dongsheng Wang, Hongwei Wang, Chao Li, Kang Lu, Zhong-Ren Peng, Juanhao Zhao, Qingyan Fu, Jianwen Pan
Software Mentions: 2
Published: almost 6 years ago
10.3389/fchem.2019.00035
e-Sweet: A Machine-Learning Based Platform for the Prediction of Sweetener and Its Relative SweetnessCited by: 23
Author(s): Suqing Zheng, Wenping Chang, Wenxin Xu, Yong Xu, Lin Fu
Software Mentions: 2
Published: almost 8 years ago
10.3390/s21020446
An Experimental Analysis of Attack Classification Using Machine Learning in IoT NetworksCited by: 85
Author(s): Andrew Churcher, Rehmat Ullah, Jawad Ahmad, Sadaqat Ur Rehman, Fawad Masood, Mandar Gogate, Fehaid Alqahtani, Boubakr Nour, William J. Buchanan
Software Mentions: 2
Published: almost 6 years ago
10.1186/s12918-018-0587-5
Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosaCited by: 35
Author(s): Xin Fang, Jonathan M. Monk, Nathan Mih, Bin Du, Anand V. Sastry, Erol Kavvas, Yara Seif, Larry Smarr, Bernhard Ø. Palsson
Software Mentions: 2
Published: over 8 years ago
10.3390/s21030938
A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates SelectionCited by: 21
Author(s): Nicolas Zurbuchen, Adriana Wilde, Pascal Bruegger
Software Mentions: 2
Published: almost 6 years ago
10.1371/journal.pone.0241686
Evaluation of classification and forecasting methods on time series gene expression dataCited by: 3
Author(s): Nafis Irtiza Tripto, M. R. Kabir, Md. Shamsuzzoha Bayzid, Atif Rahman
Software Mentions: 2
Published: about 6 years ago
10.3390/s21041026
Efficient Anomaly Detection for Smart Hospital IoT SystemsCited by: 19
Author(s): Abdel Mlak Said, Aymen Yahyaoui, Takoua Abdellatif
Software Mentions: 2
Published: almost 6 years ago
10.1080/14756366.2020.1838499
HT-SuMD: making molecular dynamics simulations suitable for fragment-based screening. A comparative study with NMRCited by: 9
Author(s): Francesca Ferrari, Maicol Bissaro, Simone Fabbian, Jessica de Almeida Roger, Stefano Mammi, Stefano Moro, Massimo Bellanda, Mattia Sturlese
Software Mentions: 2
Published: about 6 years ago
10.3389/fnbot.2020.578675
Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable EnvironmentsCited by: 0
Author(s): Jeffery Dick, Paweł Ładosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio
Software Mentions: 2
Published: almost 6 years ago
10.3390/s21041214
Machine Learning Algorithms for Activity-Intensity Recognition Using Accelerometer DataCited by: 6
Author(s): Eduardo Rodrigues Gomes, Luciano Bertini, Wagner Rangel Campos, Ana Paula Barbosa Sobral, Izabela Mocaiber, Alessandro Copetti
Software Mentions: 2
Published: almost 6 years ago
10.1186/s12920-021-00974-3
EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancerCited by: 10
Author(s): Leila Mirsadeghi, Reihaneh Hosseini, Ali Mohammad Banaei-Moghaddam, Kaveh Kavousi
Software Mentions: 2
Published: over 5 years ago
10.3389/fchem.2019.00899
Vienna LiverTox Workspace—A Set of Machine Learning Models for Prediction of Interactions Profiles of Small Molecules With Transporters Relevant for Regulatory AgenciesCited by: 14
Author(s): Floriane Montanari, Bernhard Knasmüller, Stefan Michael Kohlbacher, Christoph Hillisch, Christine Baierová, Melanie Grandits, Gerhard Ecker
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.ppat.1009759
Altered microRNA expression in COVID-19 patients enables identification of SARS-CoV-2 infectionCited by: 98
Author(s): Ryan J. Farr, Christina L. Rootes, Louise C. Rowntree, Thi H. O. Nguyen, Luca Hensen, Łukasz Kędzierski, Allen Cheng, Katherine Kedzierska, Gough G. Au, Glenn A. Marsh, Seshadri S. Vasan, Chwan Hong Foo, Christopher Cowled, Cameron R. Stewart
Software Mentions: 2
Published: over 5 years ago
10.3389/fchem.2019.00211
The Effect of Cofactor Binding on the Conformational Plasticity of the Biological Receptors in Artificial Metalloenzymes: The Case Study of LmrRCited by: 9
Author(s): Lur Alonso‐Cotchico, Jaime Rodríguez-Guerra Pedregal, Agustı́ Lledós, Jean‐Didier Maréchal
Software Mentions: 2
Published: over 7 years ago
10.1371/journal.pone.0207749
Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signalsCited by: 23
Author(s): Eugene Jeong, Namgi Park, Young Sik Choi, Rae Woong Park, Dukyong Yoon
Software Mentions: 2
Published: almost 8 years ago
10.3390/antibiotics8040225
A New Look at the Structures of Old Sepsis Actors by Exploratory Data Analysis ToolsCited by: 8
Author(s): Antonio Gnoni, Emanuele De Nitto, Salvatore Scacco, Luigì Santacroce, Luigi Leonardo Palese
Software Mentions: 2
Published: almost 7 years ago
10.1073/pnas.2008176117
Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronavirusesCited by: 184
Author(s): Ayal B. Gussow, Noam Auslander, Guilhem Faure, Yuri I. Wolf, Feng Zhang, Eugene V. Koonin
Software Mentions: 2
Published: over 6 years ago
10.1038/s41396-021-00926-w
Genomic network analysis of environmental and livestock F-type plasmid populationsCited by: 19
Author(s): William Matlock, Kevin Chau, Manal AbuOun, Emma Stubberfield, Leanne Barker, James Kavanagh, Hayleah Pickford, Daniel Gilson, Richard P. Smith, Hyun S. Gweon, Sarah Hoosdally, Jeremy Swann, Robert Sebra, Mark Bailey, Peto Tea., Derrick W. Crook, Muna F. Anjum, Daniel S. Read, A Sarah Walker, Nicole Stoesser, Liam Shaw, Howard Brett, Mike Bowes, Nicola De Maio, Nicholas Duggett, Duncan Wilson, Alasdair T. M. Hubbard, Hannah Jones, Anna E. Sheppard, Neil Woodford
Software Mentions: 2
Published: over 5 years ago
10.3390/s21061976
Improved Mitigation of Cyber Threats in IIoT for Smart Cities: A New-Era Approach and SchemeCited by: 3
Author(s): Semi Park, Kyung-Ho Lee
Software Mentions: 2
Published: over 5 years ago
10.3390/s21061993
Efficiency of Machine Learning Algorithms for the Determination of Macrovesicular Steatosis in Frozen Sections Stained with Sudan to Evaluate the Quality of the Graft in Liver TransplantationCited by: 11
Author(s): Fernando Pérez-Sánz, Carole Escartin, Enrique Martínez‐Barba, Jesús de la Peña-Moral, Alejandro Salazar Nicolás, Marina Carpes-Ruiz, Ángel Esteban-Gil, María del Carmen Legaz-García, María Antonia Parreño-González, Pablo Ramírez, Carlos Martínez
Software Mentions: 2
Published: over 5 years ago
10.3390/s21062222
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning ClassifiersCited by: 162
Author(s): Jaeyong Kang, Zahid Ullah, Jeonghwan Gwak
Software Mentions: 2
Published: over 5 years ago
10.3390/ijerph18105332
Risk Prediction of Barrett’s Esophagus in a Taiwanese Health Examination Center Based on Regression ModelsCited by: 1
Author(s): Po-Hsiang Lin, Jer‐Guang Hsieh, Hsien‐Chung Yu, Jyh-Horng Jeng, Chiao-Lin Hsu, Chien‐Hua Chen, Pin-Chieh Wu
Software Mentions: 2
Published: over 5 years ago
10.1098/rsos.190824
Automated detection of lameness in sheep using machine learning approaches: novel insights into behavioural differences among lame and non-lame sheepCited by: 25
Author(s): Jasmeet Kaler, Jürgen Mitsch, Jorge A. Vázquez-Diosdado, Nicola Bollard, Tania Dottorini, Keith A. Ellis
Software Mentions: 2
Published: almost 7 years ago
10.1371/journal.pone.0181152
Cerebral 18F-FDG PET in macrophagic myofasciitis: An individual SVM-based approachCited by: 6
Author(s): Paul Blanc-Durand, Axel Van Der Gucht, Éric Guedj, Mukedaisi Abulizi, Mehdi Aoun-Sebaïti, Lionel Lerman, Antoine Verger, François‐Jérôme Authier, Emmanuel Itti
Software Mentions: 2
Published: over 9 years ago
10.1098/rsos.210392
Predicting the risk of rupture for vertebral aneurysm based on geometric features of blood vesselsCited by: 1
Author(s): Shixuan Li, Ruiqi Pan, Aarushi Gupta, Shixin Xu, Yibin Fang, Huaxiong Huang
Software Mentions: 2
Published: over 5 years ago
10.3390/cancers13112766
Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant DisordersCited by: 38
Author(s): Gizem Tanriver, Merva Soluk Tekkeşın, Onur Ergen
Software Mentions: 2
Published: over 5 years ago
10.3390/jimaging7020024
Real-Time Quality Control of Heat Sealed Bottles Using Thermal Images and Artificial Neural NetworkCited by: 6
Author(s): Samuel Cruz, Antönio Paulino, João Durães, Mateus Mendes
Software Mentions: 2
Published: almost 6 years ago
10.1186/s12920-019-0515-6
CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancerCited by: 5
Author(s): Sungjoon Park, Dae Hyun Hwang, Yoon Sun Yeo, Hyunggee Kim, Jaewoo Kang
Software Mentions: 2
Published: over 7 years ago
10.3390/s21093079
Sustainable Irrigation System for Farming Supported by Machine Learning and Real-Time Sensor DataCited by: 16
Author(s): André Glória, J. M. R. Cardoso, Pedro Sebastião
Software Mentions: 2
Published: over 5 years ago