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
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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
Penalties:
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PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.1371/journal.pbio.3000611
Combining genomics and epidemiology to track mumps virus transmission in the United StatesCited by: 34
Author(s): Shirlee Wohl, Hayden C. Metsky, Stephen F. Schaffner, Anne Piantadosi, Meagan Burns, Joseph A Lewnard, Bridget Chak, Lydia A. Krasilnikova, Katherine J. Siddle, Christian B. Matranga, Bettina Bankamp, Scott Hennigan, Brandon Sabina, Elizabeth H. Byrne, Rebecca J. McNall, Rickey R. Shah, James Qu, Daniel J. Park, Soheyla D. Gharib, Susan Fitzgerald, Paul Barreira, Stephen B. Fleming, Susan M. Lett, Paul A. Rota, Lawrence C. Madoff, Nathan L. Yozwiak, Bronwyn MacInnis, Sandra Smole, Yonatan H. Grad
Software Mentions: 2
Published: over 5 years ago
10.1080/14686996.2020.1791676
Materials informatics approach to understand aluminum alloysCited by: 11
Author(s): Ryo Tamura, Makoto Watanabe, Hiroaki Mamiya, Kota Washio, Masao Yano, Katsunori Danno, Akira Kato, Tetsuya Shoji
Software Mentions: 2
Published: almost 6 years ago
10.1016/j.celrep.2021.109566
Synchronization patterns reveal neuronal coding of working memory contentCited by: 11
Author(s): Fahimeh Mamashli, Sheraz Khan, Matti S. Hämäläinen, Mainak Jas, Tommi Raij, Steven M. Stufflebeam, Aapo Nummenmaa, Jyrki Ahveninen
Software Mentions: 2
Published: over 4 years ago
10.1007/s00401-020-02171-5
Patient-derived orthotopic xenografts of pediatric brain tumors: a St. Jude resourceCited by: 38
Author(s): Kyle Smith, Ke Xu, Kimberly Mercer, Frederick A. Boop, Paul Klimo, Michael DeCupyere, José Grenet, Sarah Robinson, Paige S. Dunphy, Suzanne J. Baker, David W. Ellison, Thomas E. Merchant, Santhosh A Upadayaya, Amar Gajjar, Gang Wu, Brent A. Orr, Giles Robinson, Paul A. Northcott, Martine F. Roussel
Software Mentions: 2
Published: over 5 years ago
10.1186/s40170-020-0211-1
Common biochemical properties of metabolic genes recurrently dysregulated in tumorsCited by: 9
Author(s): Krishnadev Oruganty, Scott Campit, Sainath Mamde, Costas A. Lyssiotis, Sriram Chandrasekaran
Software Mentions: 2
Published: over 5 years ago
10.3390/plants9121751
Identification of Cis-Regulatory Sequences Controlling Pollen-Specific Expression of Hydroxyproline-Rich Glycoprotein Genes in Arabidopsis thalianaCited by: 3
Author(s): Yichao Li, Maxwell Mullin, Yingnan Zhang, Frank A. Drews, Lonnie R. Welch, Allan M. Showalter
Software Mentions: 2
Published: almost 5 years ago
10.1016/j.celrep.2020.02.094
Machine Learning Uncovers Food- and Excipient-Drug InteractionsCited by: 34
Author(s): Daniel Reker, Yulei Shi, Ameya R. Kirtane, Kaitlyn Hess, Grace Zhong, Evan Crane, Chin‐Feng Lin, Robert Langer, Giovanni Traverso
Software Mentions: 2
Published: over 5 years ago
10.18632/aging.202168
Plasma cytokines for predicting diabetic retinopathy among type 2 diabetic patients via machine learning algorithmsCited by: 3
Author(s): Bin Cao, Ning Zhang, Yuanyuan Zhang, Ying Fu, Dong Zhao
Software Mentions: 2
Published: almost 5 years ago
10.1038/s41598-021-97865-5
Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiersCited by: 8
Author(s): Dixiang Song, Yixuan Zhai, Tao Xue, Chao Zhao, Minkai Wang, Xinting Wei
Software Mentions: 2
Published: about 4 years ago
10.3390/cells9020326
Computational Detection of Breast Cancer Invasiveness with DNA Methylation BiomarkersCited by: 5
Author(s): Chuyu Wang, Ning Zhao, Linlin Yuan, Xiaoyan Liu
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-021-98277-1
A novel lncRNA–protein interaction prediction method based on deep forest with cascade forest structureCited by: 13
Author(s): Xiongfei Tian, Lei Shen, Zhenwu Wang, Liqian Zhou, Lihong Peng
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-97965-2
Biomolecular simulation based machine learning models accurately predict sites of tolerability to the unnatural amino acid acridonylalanineCited by: 4
Author(s): Sam Giannakoulias, Sumant R. Shringari, John J. Ferrie, E. James Petersson
Software Mentions: 2
Published: about 4 years ago
10.1093/texcom/tgaa066
Cortical Tuning is Impaired After Perceptual Experience in Primary Visual Cortex of Serotonin Transporter-Deficient MiceCited by: 0
Author(s): Alexandr Pak, Alexander A. Chubykin
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-021-97605-9
Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patientsCited by: 1
Author(s): Junichi Fukada, Kyohei Fukata, Naoyoshi Koike, R. Kota, Naoyuki Shigematsu
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-96628-6
Novel metabolomic profile of subjects with non-classic apparent mineralocorticoid excessCited by: 7
Author(s): Alejandra Tapia-Castillo, Cristián A. Carvajal, Xaviera A. López-Cortés, Andrea Vecchiola, Carlos E. Fardella
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-96507-0
Machine learning assisted prediction of the Young’s modulus of compositionally complex alloysCited by: 29
Author(s): Hrishabh Khakurel, M. F. N. Taufique, Abhinaba Roy, Ganesh Balasubramanian, Gaoyuan Ouyang, Jun Cui, Duane D. Johnson, Ram Devanathan
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-021-95987-4
Predicting pediatric anxiety from the temporal pole using neural responses to emotional facesCited by: 3
Author(s): Jeffrey Sawalha, Muhammad Yousefnezhad, Alessandro Selvitella, Bo Cao, Andrew J. Greenshaw, Russell Greiner
Software Mentions: 2
Published: about 4 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 8 years ago
10.1039/c9sc05999g
Benchmarking the acceleration of materials discovery by sequential learningCited by: 74
Author(s): Brian A. Rohr, Helge S. Stein, Dan Guevarra, Yu Wang, Joel A. Haber, Muratahan Aykol, Santosh K. Suram, John M. Gregoire
Software Mentions: 2
Published: almost 6 years ago
10.1186/s12859-021-03993-0
ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sitesCited by: 1
Author(s): Pengyu Liu, Jiangning Song, Chun Yuan Lin, Tatsuya Akutsu
Software Mentions: 2
Published: over 4 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 4 years ago
10.1186/s13321-019-0381-4
Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energiesCited by: 16
Author(s): Christoph Bauer, Gisbert Schneider, Andreas H. Göller
Software Mentions: 2
Published: about 6 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 4 years ago
10.3389/fnins.2021.708196
A Contrast Augmentation Approach to Improve Multi-Scanner Generalization in MRICited by: 4
Author(s): Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Sima
Software Mentions: 2
Published: about 4 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 7 years ago
10.3390/ma14071747
Design and Additive Manufacturing of Porous Sound Absorbers—A Machine-Learning ApproachCited by: 15
Author(s): Sebastian Kuschmitz, Tobias P. Ring, Hagen Watschke, Sabine Langer, Thomas Vietor
Software Mentions: 2
Published: over 4 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 6 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 7 years ago
10.1038/s41598-019-52937-5
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer TranscriptomeCited by: 29
Author(s): Behrooz Azarkhalili, Alihossein Saberi, Hamidreza Chitsaz, Ali Sharifi-Zarchi
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-019-51269-8
MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural NetworksCited by: 29
Author(s): Masato Yamabe, Kazumasa Horie, Hiroaki Shiokawa, Hiromasa Funato, Masashi Yanagisawa, Hiroyuki Kitagawa
Software Mentions: 2
Published: about 6 years ago
10.1038/s42003-020-01535-7
Fast automated detection of COVID-19 from medical images using convolutional neural networksCited by: 38
Author(s): Shuang Liang, Huixiang Liu, Yu Gu, Xiuhua Guo, Hongjun Li, Li Li, Zhiyuan Wu, Mengyang Li, Lixin Tao
Software Mentions: 2
Published: almost 5 years ago
10.1038/s41598-019-51526-w
Local redox conditions in cells imaged via non-fluorescent transient states of NAD(P)HCited by: 8
Author(s): Johan Tornmalm, Elin Sandberg, Mihailo D. Rabasović, Jerker Widengren
Software Mentions: 2
Published: about 6 years ago
10.1038/s42003-019-0707-9
Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primatesCited by: 23
Author(s): Christopher Heelan, Ji-Hun Lee, Ronan O’Shea, Laurie Lynch, David M. Brandman, Wilson Truccolo, A. V. Nurmikko
Software Mentions: 2
Published: almost 6 years ago
10.7717/peerj-cs.270
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression dataCited by: 44
Author(s): Reinel Tabares-Soto, Simón Orozco-Arias, Víctor Romero-Cano, Vanesa Segovia Bucheli, José Luis Rodríguez-Sotelo, Cristian Felipe Jiménez Varón
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-019-49118-9
A novel metabarcoding diagnostic tool to explore protozoan haemoparasite diversity in mammals: a proof-of-concept study using canines from the tropicsCited by: 26
Author(s): Lucas G. Huggins, Anson V. Koehler, Dinh Ng-Nguyen, Stephen Wilcox, Bettina Schunack, Tawin Inpankaew, Rebecca J. Traub
Software Mentions: 2
Published: about 6 years ago
10.1038/s41598-019-48913-8
Accurate Classification of Biological and non-Biological Interfaces in Protein Crystal Structures using Subtle Covariation SignalsCited by: 6
Author(s): Yoshinori Fukasawa, Kentaro Tomii
Software Mentions: 2
Published: about 6 years ago
10.1186/s12859-020-3474-1
ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfacesCited by: 3
Author(s): Felippe C. Queiroz, Adriana Maria Patarroyo Vargas, M. G. A. Oliveira, Giovanni Comarela, Simonton Andrade Silveira
Software Mentions: 2
Published: over 5 years ago
10.1038/s42003-021-02514-2
Moisture modulates soil reservoirs of active DNA and RNA virusesCited by: 30
Author(s): Ruonan Wu, Michelle Davison, Yuqian Gao, Carrie Nicora, Jason McDermott, Kristin Burnum-Johnson, Kirsten Hofmockel, Janet K. Jansson
Software Mentions: 2
Published: about 4 years ago
10.1038/s42003-020-01559-z
Deep learning identifies partially overlapping subnetworks in the human social brainCited by: 10
Author(s): Hannah Kiesow, R. Nathan Spreng, Avram J. Holmes, M. Mallar Chakravarty, André F. Marquand, B.T. Thomas Yeo, Danilo Bzdok
Software Mentions: 2
Published: almost 5 years ago
10.1109/JTEHM.2019.2940900
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural NetworkCited by: 116
Author(s): Liaqat Ali, Ce Zhu, Zhonghao Zhang, Yipeng Liu
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-019-48571-w
A hierarchy of environmental covariates control the global biogeography of soil bacterial richnessCited by: 14
Author(s): Samuel Bickel, Xi Chen, Andreas Papritz, Dani Or
Software Mentions: 2
Published: about 6 years ago
10.1038/s42003-020-1079-x
β-amyloid and tau drive early Alzheimer’s disease decline while glucose hypometabolism drives late declineCited by: 49
Author(s): Tyler C. Hammond, Xin Xing, Chris Wang, Dávid Ma, Kwangsik Nho, Paul K. Crane, Fanny M. Elahi, David A. Ziegler, Gongbo Liang, Qiang Cheng, Lucille M. Yanckello, Nathan Jacobs, Ai-Ling Lin
Software Mentions: 2
Published: over 5 years ago
10.1186/s12859-019-2939-6
Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networksCited by: 28
Author(s): Jiesi Luo, Wei Chen, Xue Li, Bin Tang
Software Mentions: 2
Published: over 6 years ago
10.1186/s12859-020-3505-y
Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomesCited by: 3
Author(s): Nathan Mih, Jonathan M. Monk, Xin Fang, Edward Catoiu, David Heckmann, Laurence T. Yang, Jaehyung Kim
Software Mentions: 2
Published: over 5 years ago
10.1038/s41598-019-48273-3
Link clustering explains non-central and contextually essential genes in protein interaction networksCited by: 2
Author(s): Inhae Kim, Heetak Lee, Kwanghwan Lee, Seong Kyu Han, Donghyo Kim, Sanguk Kim
Software Mentions: 2
Published: about 6 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 6 years ago
10.1245/s10434-020-08659-4
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic StudyCited by: 32
Author(s): Lizhi Shao, Zhenyu Liu, Lili Feng, Xiaoying Lou, Zhenhui Li, Xiao Yan Zhang, Xiang-Bo Wan, Xuezhi Zhou, Kai Sun, Da Fu Zhang, Lin Wu, Guanyu Yang, Ying Sun, Rui‐hua Xu, Xinjuan Fan, Jie Tian
Software Mentions: 2
Published: over 5 years ago
10.7717/peerj.9562
Prediction of human fetal–maternal blood concentration ratio of chemicalsCited by: 5
Author(s): Chia-Chi Wang, Pei Lin, Che Yu Chou, Shan Shan Wang, Chun Wei Tung
Software Mentions: 2
Published: over 5 years ago
10.1186/s13321-019-0356-5
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicityCited by: 5
Author(s): Chad H. G. Allen, Lewis Mervin, Samar Mahmoud, Andreas Bender
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-019-47484-y
Comprehensive feature selection for classifying the treatment outcome of high-intensity ultrasound therapy in uterine fibroidsCited by: 20
Author(s): Visa Suomi, Gaber Komar, Teija Sainio, Kirsi Joronen, Antti Perheentupa, Roberto Blanco Sequeiros
Software Mentions: 2
Published: over 6 years ago
10.1038/s41598-019-45333-6
EEG Decoding Reveals the Strength and Temporal Dynamics of Goal-Relevant RepresentationsCited by: 31
Author(s): Jason Hubbard, Atsushi Kikumoto, Ulrich Mayr
Software Mentions: 2
Published: over 6 years ago
10.1186/s12859-021-04096-6
Harvestman: a framework for hierarchical feature learning and selection from whole genome sequencing dataCited by: 1
Author(s): Trevor S. Frisby, Shawn James Baker, Guillaume Marçais, Quang Minh Hoang, Carl Kingsford, Christopher J. Langmead
Software Mentions: 2
Published: over 4 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 6 years ago
10.1093/bioinformatics/btx082
Benchmarking substrate-based kinase activity inference using phosphoproteomic dataCited by: 57
Author(s): Claudia Hernández-Armenta, David Ochoa, Emanuel Gonçalvès, Julio Sáez-Rodríguez, Pedro Beltrão
Software Mentions: 2
Published: over 8 years ago
10.1038/s41598-019-43403-3
Recognition of 3′-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning modelsCited by: 0
Author(s): Alexander Shein, Anton Zaikin, Maria Poptsova
Software Mentions: 2
Published: over 6 years ago
10.1186/s13321-019-0348-5
QligFEP: an automated workflow for small molecule free energy calculations in QCited by: 46
Author(s): Willem Jespers, Mauricio Esguerra, Johan Åqvist, Hugo Gutiérrez‐de‐Terán
Software Mentions: 2
Published: over 6 years ago
10.1186/s12879-021-06038-2
Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learningCited by: 4
Author(s): Saket Navlakha, Sejal Morjaria, Rocío Pérez-Johnston, Allen Zhang, Ying Taur
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-019-39815-w
Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) Improves Lipid-Based Microbial Species Level IdentificationCited by: 19
Author(s): Simon Cameron, Zsolt Bodai, Burak Temelkuran, Alvaro Perdones‐Montero, Frances Bolt, Adam Burke, Kate Alexander-Hardiman, Michel Salzet, Isabelle Fournier, Monica Rebec, Zoltán Takáts
Software Mentions: 2
Published: over 6 years ago
10.1093/bioinformatics/btz012
A web application and service for imputing and visualizing missense variant effect mapsCited by: 13
Author(s): Yingzhou Wu, Jochen Weile, Atina G. Coté, Song Sun, Jennifer J. Knapp, Marta Verby, Frederick P. Roth
Software Mentions: 2
Published: almost 7 years ago
10.1155/2021/6151651
Utterance Clustering Using Stereo Audio ChannelsCited by: 1
Author(s): Yingjun Dong, Neil G. MacLaren, Yiding Cao, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Hiroki Sayama, Gregory A. Ruark
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-018-38464-9
Four-dimensional joint visualization of electrode degradation and liquid water distribution inside operating polymer electrolyte fuel cellsCited by: 35
Author(s): Robin White, Sebastian H. Eberhardt, Yadvinder Singh, Tylynn Haddow, Monica Dutta, Francesco P. Orfino, Erik Kjeang
Software Mentions: 2
Published: over 6 years ago
10.1093/bioinformatics/btx601
Sipros Ensemble improves database searching and filtering for complex metaproteomicsCited by: 21
Author(s): Xuan Guo, Zhou Li, Qiuming Yao, Robert F. Mueller, Jimmy K. Eng, David L. Tabb, IV William Judson Hervey, Chongle Pan
Software Mentions: 2
Published: about 8 years ago
10.1107/S2059798320009080
Predicting protein model correctness in <i>Coot</i> using machine learningCited by: 17
Author(s): Paul S. Bond, K.S. Wilson, Kevin Cowtan
Software Mentions: 2
Published: over 5 years ago
10.1186/s13321-016-0184-9
Utilizing maximal frequent itemsets and social network analysis for HIV data analysisCited by: 1
Author(s): Yunuscan Koçak, Tansel Özyer, Reda Alhajj
Software Mentions: 2
Published: almost 9 years ago
10.1186/s13321-016-0121-y
Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learningCited by: 25
Author(s): Floriane Montanari, Barbara Zdrazil, Daniela Digles, Gerhard Ecker
Software Mentions: 2
Published: almost 10 years ago
10.1186/s13062-019-0246-9
Antibiotic resistance and metabolic profiles as functional biomarkers that accurately predict the geographic origin of city metagenomics samplesCited by: 15
Author(s): Carlos S. Casimiro-Soriguer, Carlos Loucera, J. P. Florido, Daniel López-López, Joaquı́n Dopazo
Software Mentions: 2
Published: about 6 years ago
10.1186/s13321-015-0090-6
Synergy Maps: exploring compound combinations using network-based visualizationCited by: 34
Author(s): Richard P. Lewis, Rajarshi Guha, Tamás Korcsmáros, Andreas Bender
Software Mentions: 2
Published: over 10 years ago
10.3389/fnins.2017.00754
White Matter Tract Segmentation as Multiple Linear Assignment ProblemsCited by: 13
Author(s): Nusrat Sharmin, Emanuele Olivetti, Paolo Avesani
Software Mentions: 2
Published: almost 8 years ago
10.1186/s13062-020-0259-4
Predictability of drug-induced liver injury by machine learningCited by: 26
Author(s): Marco Chierici, Margherita Francescatto, Nicole Bussola, Giuseppe Jurman, Cesare Furlanello
Software Mentions: 2
Published: over 5 years ago
10.1155/2015/136921
Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA FeaturesCited by: 41
Author(s): Deborah Mudali, Laura K. Teune, Remco Renken, Klaus L. Leenders, Jos B. T. M. Roerdink
Software Mentions: 2
Published: almost 11 years ago
10.1186/s12859-018-2535-1
Sequence-based bacterial small RNAs prediction using ensemble learning strategiesCited by: 14
Author(s): Guifeng Tang, Jingwen Shi, Wenjian Wu, Xiang Yue, Wen Zhang
Software Mentions: 2
Published: almost 7 years ago
10.1186/s42523-021-00075-7
Microbiota in intestinal digesta of Atlantic salmon (Salmo salar), observed from late freshwater stage until one year in seawater, and effects of functional ingredients: a case study from a commercial sized research site in the Arctic regionCited by: 33
Author(s): Jie Wang, Alexander Jaramillo-Torres, Yanxian Li, Trond M. Kortner, Karina Gajardo, Øyvind Jakobsen Brevik, Jan Vidar Jakobsen, Åshild Krogdahl
Software Mentions: 2
Published: almost 5 years ago
10.7717/peerj.10317
Machine learning prediction of motor response after deep brain stimulation in Parkinson’s disease—proof of principle in a retrospective cohortCited by: 17
Author(s): Jeroen Habets, Mark Janssen, Annelien Duits, Laura C.J. Sijben, Anne E.P. Mulders, B. de Greef, Yasin Temel, Mark L. Kuijf, Pieter L. Kubben, Christian Herff
Software Mentions: 2
Published: almost 5 years ago
10.7717/peerj.10555
Macrel: antimicrobial peptide screening in genomes and metagenomesCited by: 26
Author(s): Célio Dias Santos Júnior, Shaojun Pan, Xing‐Ming Zhao, Luís Pedro Coelho
Software Mentions: 2
Published: almost 5 years ago
10.1038/s41598-018-35582-2
Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care unitsCited by: 32
Author(s): Meng Hsuen Hsieh, Meng Ju Hsieh, Chin‐Ming Chen, Chih-Chang Hsieh, Chien‐Ming Chao, Chih‐Cheng Lai
Software Mentions: 2
Published: almost 7 years ago
10.1186/1758-2946-5-43
Similarity maps - a visualization strategy for molecular fingerprints and machine-learning methodsCited by: 110
Author(s): Sereina Riniker, Gregory A. Landrum
Software Mentions: 2
Published: about 12 years ago
10.1186/s12864-020-06978-0
ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embeddingCited by: 23
Author(s): Hongtuo Fu, Zicheng Cao, Mingyuan Li, Shunfang Wang
Software Mentions: 2
Published: about 5 years ago
10.3389/fonc.2021.654685
Deep Learning on Enhanced CT Images Can Predict the Muscular Invasiveness of Bladder CancerCited by: 12
Author(s): Gumuyang Zhang, Zhe Wu, Lili Xu, Xiaoxiao Zhang, Daming Zhang, Li Mao, Xiuli Li, Yu Xiao, Jun Guo, Zhigang Ji, Hao Sun, Zhengyu Jin
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-018-33110-w
Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methodsCited by: 16
Author(s): Taku Obara, Mami Ishikuro, Gen Tamiya, Masao Ueki, Chizuru Yamanaka, Satoshi Mizuno, Masahiro Kikuya, Hirohito Metoki, Hiroko Matsubara, Masato Nagai, Tomoko Kobayashi, Machiko Kamiyama, M Watanabe, Kazuhiko Kakuta, Minami Ouchi, Akiko Kurihara, Naru Fukuchi, Akihiro Yasuhara, Masumi Inagaki, Makiko Kaga, Shigeo Kure, Shinichi Kuriyama
Software Mentions: 2
Published: about 7 years ago
10.1186/s12859-020-03603-5
A cell-level quality control workflow for high-throughput image analysisCited by: 3
Author(s): Minhua Qiu, Bin Zhou, Frederick Lo, Steven C. Cook, Jason Chyba, Doug Quackenbush, Jason Matzen, Zhizhong Li, Puiying A. Mak, Kaisheng Chen, Yingyao Zhou
Software Mentions: 2
Published: over 5 years ago
10.1080/01969722.2018.1556438
Modeling Mentor-Mentee Dialogues in FilmCited by: 0
Author(s): Anna Dobrosovestnova, Marcin Skowron, Sabine Payr, Robert Trappl
Software Mentions: 2
Published: over 6 years ago
10.1242/bio.036103
Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence toleranceCited by: 16
Author(s): David Mavor, Kyle Barlow, Daniel Asarnow, Yuliya Birman, Derek Britain, Weilin Chen, Evan M. Green, L.R. Kenner, Bruk Mensa, Leanna S. Morinishi, Charlotte Nelson, Erin M. Poss, Pooja Suresh, Ruilin Tian, Taylor Arhar, Beatrice Ary, Diana Bauer, Ian D. Bergman, Rachel M. Brunetti, Cynthia M. Chio, Shizhong Dai, Miles Sasha Dickinson, Susanna K. Elledge, Cole V. M. Helsell, Nathan L. Hendel, Emily L. Kang, Nadja Kern, Matvei Khoroshkin, Lisa L. Kirkemo, Greyson R. Lewis, Kevin Lou, Wesley M. Marin, Alison Maxwell, Peter F. McTigue, Douglas Myers-Turnbull, Tamas L. Nagy, Andrew M. Natale, Keely Oltion, Sergei Pourmal, Gabriel Reder, Nicholas J. Rettko, Peter J. Rohweder, Daniel M. C. Schwarz, Sophia K. Tan, Paul Thomas, Ryan W. Tibble, Jason P. Town, Mary K. Tsai, Fatima S. Ugur, Douglas R. Wassarman, Alexander M. Wolff, Taia Wu, Derek Bogdanoff, Jennifer Li, Kurt S. Thorn, Shane Ó’Conchúir, Danielle L. Swaney, Eric D. Chow, Hiten Madhani, Sy Redding, Daniel N. Bolon, Tanja Kortemme, Joseph L. DeRisi, Martin Kampmann, James S. Fraser
Software Mentions: 2
Published: over 7 years ago
10.1038/s41598-018-27627-3
Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomicsCited by: 42
Author(s): Anna Lundmark, Natalija Gerasimčik, Tove Båge, Anders Jemt, Annelie Mollbrink, Fredrik Salmén, Joakim Lundeberg, Tülay Yucel‐Lindberg
Software Mentions: 2
Published: over 7 years ago
10.3390/biology9080198
Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest ModelsCited by: 19
Author(s): Diana V. Urista, Diego B. Carrué, Iago Otero, Sonia Arrasate, Viviana Quevedo-Tumailli, Marcos Gestal, Humberto González-Dı́az, Cristian R. Munteanu
Software Mentions: 2
Published: over 5 years ago
10.1093/database/bav123
ChemProt-3.0: a global chemical biology diseases mappingCited by: 81
Author(s): Jens Vindahl Kringelum, Sonny Kim Kjærulff, Søren Brunak, Ole Lund, Tudor I. Oprea, Olivier Taboureau
Software Mentions: 2
Published: almost 10 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 7 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 5 years ago
10.1093/database/baaa002
GXD’s RNA-Seq and Microarray Experiment Search: using curated metadata to reliably find mouse expression studies of interestCited by: 2
Author(s): Cyndi M. Smith, James A. Kadin, Richard M. Baldarelli, Jonathan S Beal, Olin Blodgett, Sharon C Giannatto, Joel E. Richardson, Martin Ringwald
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-018-23534-9
Extracting biological age from biomedical data via deep learning: too much of a good thing?Cited by: 78
Author(s): Timothy V. Pyrkov, Konstantin Slipensky, Mikhail Barg, Alexey Kondrashin, Boris Zhurov, Aleksandr Zenin, Mikhail A. Pyatnitskiy, L. I. Men’shikov, Sergei Markov, П. О. Федичев
Software Mentions: 2
Published: over 7 years ago
10.1093/database/baab017
Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learningCited by: 16
Author(s): Eryk Kropiwnicki, John Erol Evangelista, Daniel J. Stein, Daniel J. B. Clarke, Alexander Lachmann, Maxim V. Kuleshov, Minji Jeon, Kathleen M. Jagodnik, Avi Ma’ayan
Software Mentions: 2
Published: almost 5 years ago
10.1093/database/baaa050
mAML: an automated machine learning pipeline with a microbiome repository for human disease classificationCited by: 18
Author(s): Fenglong Yang, Quan Zou
Software Mentions: 2
Published: almost 6 years ago
10.1038/s41598-018-25891-x
Sensory representation of an auditory cued tactile stimulus in the posterior parietal cortex of the mouseCited by: 16
Author(s): Hemanth Mohan, Yasir Gallero‐Salas, Stefano Carta, João Sacramento, Balazs Laurenczy, Lazar T. Sumanovski, De Kock, Fritjof Helmchen, Shankar Sachidhanandam
Software Mentions: 2
Published: over 7 years ago
10.3389/fphar.2020.606668
Improvement of Prediction Performance With Conjoint Molecular Fingerprint in Deep LearningCited by: 27
Author(s): Liangxu Xie, Lei Xu, Ren Kong, Shan Chang, Xiaojun Xu
Software Mentions: 2
Published: almost 5 years ago
10.1186/s13000-021-01126-y
Normalization of HE-stained histological images using cycle consistent generative adversarial networksCited by: 16
Author(s): Marlen Runz, Daniel Rusche, S. Schmidt, Martin R. Weihrauch, Jürgen Hesser, Cleo–Aron Weis
Software Mentions: 2
Published: over 4 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 7 years ago
10.7717/peerj.11790
Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar dataCited by: 8
Author(s): Victoria Scholl, Joe McGlinchy, Teo Price-Broncucia, Jennifer K. Balch, Maxwell B. Joseph
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-018-21070-0
Machine learning of correlated dihedral potentials for atomistic molecular force fieldsCited by: 21
Author(s): Pascal Friederich, Manuel Konrad, Timo Strunk, Wolfgang Wenzel
Software Mentions: 2
Published: almost 8 years ago
10.1007/s00227-018-3318-y
Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry dataCited by: 66
Author(s): Lauran R. Brewster, Jonathan J. Dale, T. L. Guttridge, Samuel H. Gruber, Alexander C. Hansell, Michael Elliott, I. G. Cowx, Nicholas M. Whitney, Adrian C. Gleiss
Software Mentions: 2
Published: over 7 years ago
10.1155/2020/7103647
A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell CarcinomaCited by: 15
Author(s): Xiaohong Meng, Jing Shu, Yuwei Xia, Ruwu Yang
Software Mentions: 2
Published: over 5 years ago
10.7717/peerj.488
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learningCited by: 198
Author(s): Dan Stowell, Mark D. Plumbley
Software Mentions: 2
Published: over 11 years ago