Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning

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161-180 of 184 ARTICLES
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 in 
https://doi.org/10.12688/f1000research.17363.2
Research Article metrics
Revised
Transcription factor binding site clusters identify target genes with similar tissue-wide expression and buffer against mutations
[version 2; peer review: 2 approved]
Ruipeng Lu, Peter K. Rogan
Peer Reviewers Daphne Ezer; Nicolae Radu Zabet
  • Funders
  • Natural Sciences and Engineering Research Council of Canada
  • Ontario Centres of Excellence
  • Cytognomix Inc.
  • Shared Hierarchical Academic Research Computing Network
  • Southern Ontario Smart Computing Innovation
  • Western University
  • Compute Canada
  • Canada Foundation for Innovation
  • Canada Research Chairs
LATEST VERSION PUBLISHED 08 Apr 2019
https://doi.org/10.12688/f1000research.17613.2
Research Article metrics
Revised
EEG correlation at a distance: A re-analysis of two studies using a machine learning approach
[version 2; peer review: 2 approved]
Marco Bilucaglia, Luciano Pederzoli, William Giroldini, Elena Prati, Patrizio E. Tressoldi
Peer Reviewers Arnaud Delorme; Schubert R. Carvalho
LATEST VERSION PUBLISHED 29 Mar 2019
https://doi.org/10.12688/f1000research.17669.1
Software Tool Article metrics
shiny-pred: a server for the prediction of protein disordered regions
[version 1; peer review: 1 approved with reservations, 1 not approved]
Mauricio Oberti, Iosif Vaisman
Peer Reviewers Jinbo Xu; Appadurai Rajeswari and Anand Srivastava
PUBLISHED 28 Feb 2019
https://doi.org/10.12688/f1000research.17125.1
Method Article metrics
Projection layers improve deep learning models of regulatory DNA function
[version 1; peer review: 1 approved, 1 approved with reservations]
Alex Hawkins-Hooker, Henry Kenlay, John E. Reid
Peer Reviewers David R. Kelley; Qin Ma
  • Funder
  • Medical Research Council
PUBLISHED 05 Feb 2019
https://doi.org/10.12688/f1000research.17555.1
Research Article metrics
An interpretable machine learning model of biological age
[version 1; peer review: 2 approved with reservations]
Thomas R. Wood, Christopher Kelly, Megan Roberts, Bryan Walsh
Peer Reviewers Alex Zhavoronkov; Peter O. Fedichev
PUBLISHED 04 Jan 2019
https://doi.org/10.12688/f1000research.15020.2
Opinion Article metrics
Revised
Lost in translation
[version 2; peer review: 2 approved]
Parashkev Nachev, Geraint Rees, Richard Frackowiak
Peer Reviewers Michel Thiebaut de Schotten; Tor D. Wager
  • Funders
  • Department of Health
  • Wellcome Trust
  • UCLH NIHR Biomedical Research Centre
LATEST VERSION PUBLISHED 02 Jan 2019
https://doi.org/10.12688/f1000research.14451.3
Research Article metrics
Revised
Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning
[version 3; peer review: 1 approved, 2 approved with reservations]
Andy R. Eugene, Jolanta Masiak, Beata Eugene
Peer Reviewers Ming-Fen Ho; Sunil V. Kalmady; Duan Liu
LATEST VERSION PUBLISHED 07 Dec 2018
https://doi.org/10.12688/f1000research.16415.1
Method Article metrics
Large-scale protein function prediction using heterogeneous ensembles
[version 1; peer review: 2 approved]
Linhua Wang, Jeffrey Law, Shiv D. Kale, T. M. Murali, Gaurav Pandey
Peer Reviewers Guoxian Yu; Predrag Radivojac
  • Funders
  • International Business Machines Corporation
  • Intelligence Advanced Research Projects Activity
  • National Institutes of Health
PUBLISHED 28 Sep 2018
https://doi.org/10.12688/f1000research.15619.1
Research Article metrics
Exploring machine learning: A bibliometric general approach using Citespace
[version 1; peer review: 1 approved, 1 approved with reservations]
Juan Rincon-Patino, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales
Peer Reviewers Sally Ellingson; Chaomei Chen
  • Funder
  • Universidad del Cauca
PUBLISHED 10 Aug 2018
https://doi.org/10.12688/f1000research.15620.1
Research Article metrics
Exploring machine learning: A bibliometric general approach using SciMAT
[version 1; peer review: 2 approved with reservations]
Juan Rincon-Patino, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales
Peer Reviewers Rajesh Kumar Tiwari; Mikhail G. Dozmorov
  • Funder
  • Universidad del Cauca
PUBLISHED 07 Aug 2018
https://doi.org/10.12688/f1000research.13114.2
Research Article metrics
Revised
Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study
[version 2; peer review: 1 approved, 2 approved with reservations]
Andrea Tacchella, Silvia Romano, Michela Ferraldeschi, Marco Salvetti, Andrea Zaccaria, Andrea Crisanti, Francesca Grassi
Peer Reviewers Bruno Bonetti; Roger Tam; Bjoern Menze
  • Funders
  • Consiglio Nazionale delle Ricerche
  • Fondazione Italiana Sclerosi Multipla
LATEST VERSION PUBLISHED 01 Aug 2018
https://doi.org/10.12688/f1000research.15591.1
Method Article metrics
Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization
[version 1; peer review: 1 approved, 1 approved with reservations]
Samir A. Farooq, Samuel J. Weisenthal, Melissa Trayhan, Robert J. White, Kristen Bush, Peter R. Mariuz, Martin S. Zand
Peer Reviewers Sally Blower; Amalio Telenti
  • Funders
  • National Center for Advancing Translational Sciences
  • National Institute of Allergy and Infectious Diseases
PUBLISHED 27 Jul 2018
https://doi.org/10.12688/f1000research.14048.2
Research Article metrics
Revised
Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning
[version 2; peer review: 3 approved]
Jonathan Z.L. Zhao, Eliseos J. Mucaki, Peter K. Rogan
Peer Reviewers Daniel Oh; Michael D. Story and Liang-hao Ding; Roel Quintens and Mohamed Mysara
  • Funders
  • Natural Sciences and Engineering Research Council of Canada
  • Canada Excellence Research Chairs, Government of Canada
  • CytoGnomix Inc.
  • Canadian Foundation for Innovation
LATEST VERSION PUBLISHED 15 Jun 2018
https://doi.org/10.12688/f1000research.13723.2
Opinion Article metrics
Revised
Response heterogeneity: Challenges for personalised medicine and big data approaches in psychiatry and chronic pain
[version 2; peer review: 3 approved]
Agnes Norbury, Ben Seymour
Peer Reviewers Greg Atkinson and Philip J. Williamson; William G. Hopkins; Ricardo Silva
  • Funder
  • Wellcome Trust
LATEST VERSION PUBLISHED 01 Mar 2018
https://doi.org/10.12688/f1000research.9893.2
Software Tool Article metrics
Revised
exprso: an R-package for the rapid implementation of machine learning algorithms
[version 2; peer review: 2 approved]
Thomas Quinn, Daniel Tylee, Stephen Glatt
Peer Reviewers Dariusz Plewczynski and Julian Zubek; Henry Löffler-Wirth
LATEST VERSION PUBLISHED 06 Dec 2017
https://doi.org/10.12688/f1000research.12892.1
Study Protocol metrics
Development of a deep neural network derived from contours defined by consensus-based guidelines for automatic target segmentation in hepatocellular carcinoma radiotherapy: A study protocol
[version 1; peer review: 1 approved, 1 approved with reservations]
Jiandong Zhao, Jiazhou Wang, Mingxia Cheng
Peer Reviewers Laura A. Dawson; Sergio Casciaro
  • Funder
  • Shangfang Health Inc.
PUBLISHED 01 Nov 2017
https://doi.org/10.12688/f1000research.12693.1
Correspondence metrics
Unintended consequences of machine learning in medicine?
[version 1; peer review: 2 approved]
Laura McDonald, Sreeram V. Ramagopalan, Andrew P. Cox, Mustafa Oguz
Peer Reviewers Arturo Gonzalez-Izquierdo, Maria Pikoula and Spiros Denaxas; Hugo Schnack and Zimbo Boudewijns
PUBLISHED 19 Sep 2017
https://doi.org/10.12688/f1000research.10723.2
Data Note metrics
Revised
Prenatal brain MRI samples for development of automatic segmentation, target-recognition, and machine-learning algorithms to detect anatomical structures
[version 2; peer review: 2 not approved]
Hugues Gentillon, Ludomir Stefańczyk, Michał Strzelecki, Maria Respondek-Liberska
Peer Reviewers Ivana Išgum; Feng Shi
  • Funders
  • Polish National Health Fund
  • Medical University of Lodz & Polish Research Committee
  • Swedish Ministry of Education and Research
  • U.S. Department of Education
LATEST VERSION PUBLISHED 08 Sep 2017
https://doi.org/10.12688/f1000research.8996.2
Study Protocol metrics
Revised
Automated analysis of retinal imaging using machine learning techniques for computer vision
[version 2; peer review: 2 approved]
Jeffrey De Fauw, Pearse Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cian O Hughes, Carlton Chu, Joseph Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise
Peer Reviewers Yit Yang; Sandrine Zweifel
  • Funder
  • DeepMind
LATEST VERSION PUBLISHED 22 Jun 2017
https://doi.org/10.12688/f1000research.7217.3
Research Article metrics
Revised
Machine learning models identify molecules active against the Ebola virus in vitro
[version 3; peer review: 2 approved]
Sean Ekins, Joel S. Freundlich, Alex M. Clark, Manu Anantpadma, Robert A. Davey, Peter Madrid
Peer Reviewers Sanja Glisic; Sandeep Chakraborty
LATEST VERSION PUBLISHED 17 Jan 2017
161-180 of 184 ARTICLES
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