Machine learning: life sciences

Machine learning: life sciences

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1-20 of 26 ARTICLES
https://doi.org/10.12688/f1000research.110608.1
Research Article metrics
Remote sensing and machine learning for yield prediction of lowland paddy crops
[version 1; peer review: 1 approved, 1 not approved]
Peer Reviewers Daniel Peralta; Attila Nagy
PUBLISHED 21 Jun 2022
https://doi.org/10.12688/f1000research.18636.1
Method Article metrics
A Bioconductor workflow for the Bayesian analysis of spatial proteomics
[version 1; peer review: 1 approved, 2 approved with reservations]
Peer Reviewers Pierre M. Jean Beltran; Susan Holmes; Angus Lamond and Alejandro Brenes Murillo
  • Funders
  • Medical Research Council
  • Wellcome Trust
  • Biotechnology and Biological Sciences Research Council
PUBLISHED 11 Apr 2019
https://doi.org/10.12688/f1000research.10411.2
Software Tool Article metrics
Revised
A Bioconductor workflow for processing and analysing spatial proteomics data
[version 2; peer review: 2 approved]
Peer Reviewers Leonard J. Foster; Daniel J. Stekhoven
  • Funders
  • Wellcome Trust
  • Biotechnology and Biological Sciences Research Council
LATEST VERSION PUBLISHED 03 Jul 2018
https://doi.org/10.12688/f1000research.12947.3
Software Tool Article metrics
Revised
PPInfer: a Bioconductor package for inferring functionally related proteins using protein interaction networks
[version 3; peer review: 1 approved, 1 approved with reservations]
Peer Reviewers Cathy H. Wu and Karen E. Ross; Helen V. Cook
  • Funder
  • National Science Foundation
LATEST VERSION PUBLISHED 12 Mar 2018
https://doi.org/10.12688/f1000research.11905.2
Method Article metrics
Revised
Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria
[version 2; peer review: 3 approved]
Peer Reviewers David Ryan  Koes; Matthew P. Baumgartner; Andrea Volkamer
  • Funder
  • Novartis Institutes for BioMedical Research
LATEST VERSION PUBLISHED 19 Feb 2018
https://doi.org/10.12688/f1000research.13016.2
Review metrics
Revised
The rise and fall of machine learning methods in biomedical research
[version 2; peer review: 2 approved]
Peer Reviewers Alex Bateman; Konrad Förstner
  • Funder
  • Medical Research Council
LATEST VERSION PUBLISHED 02 Jan 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]
Peer Reviewers Dariusz Plewczynski and Julian Zubek; Henry Löffler-Wirth
LATEST VERSION PUBLISHED 06 Dec 2017
https://doi.org/10.12688/f1000research.12914.1
Research Note metrics
Detection of illicit online sales of fentanyls via Twitter
[version 1; peer review: 3 approved]
Peer Reviewers Marvin D. Shepherd; Róbert G. Vida; Emilio Ferrara
PUBLISHED 02 Nov 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]
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]
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.8231.3
Method Article metrics
Revised
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients
[version 3; peer review: 2 approved, 1 approved with reservations]
Peer Reviewers Donna P. Ankerst; Jinfeng Xiao; Amber L Simpson
LATEST VERSION PUBLISHED 06 Jul 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]
Peer Reviewers Yit Yang; Sandrine Zweifel
  • Funder
  • DeepMind
LATEST VERSION PUBLISHED 22 Jun 2017
https://doi.org/10.12688/f1000research.9417.3
Research Note metrics
Revised
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
[version 3; peer review: 2 approved]
Peer Reviewers Elana J. Fertig; Chun-Wei Tung
LATEST VERSION PUBLISHED 12 May 2017
https://doi.org/10.12688/f1000research.10529.2
Research Article metrics
Revised
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data
[version 2; peer review: 2 approved]
Peer Reviewers Marc Poirot; Ronnie Alves
  • Funders
  • Vietnam National International Development
  • A*MIDEX
LATEST VERSION PUBLISHED 14 Mar 2017
https://doi.org/10.12688/f1000research.10114.3
Research Note metrics
Revised
Optimal threshold estimation for binary classifiers using game theory
[version 3; peer review: 3 approved]
Peer Reviewers Pieter Meysman; Luis Diambra; Marcel Brun and Arjen ten Have
LATEST VERSION PUBLISHED 08 Feb 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]
Peer Reviewers Sanja Glisic; Sandeep Chakraborty
LATEST VERSION PUBLISHED 17 Jan 2017
https://doi.org/10.12688/f1000research.10419.1
Research Article metrics
Measuring the relative importance of different agricultural inputs to global and regional crop yield growth since 1975
[version 1; peer review: 2 approved with reservations]
Peer Reviewers Timothy S Thomas; Nathaniel D Mueller
PUBLISHED 29 Dec 2016
https://doi.org/10.12688/f1000research.8628.1
Method Article metrics
Predicting survival time for metastatic castration resistant prostate cancer: An iterative imputation approach
[version 1; peer review: 2 approved, 1 approved with reservations]
Peer Reviewers Devin C. Koestler; Ruoqing Zhu; C Jason Liang and Wenjuan Gu
PUBLISHED 16 Nov 2016
https://doi.org/10.12688/f1000research.9525.1
Study Protocol metrics PEER REVIEW DISCONTINUED
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans
[version 1; peer review: 1 approved with reservations]
Peer Reviewers Yuan Feng
PUBLISHED 30 Aug 2016
https://doi.org/10.12688/f1000research.9075.1
Research Article metrics
Centromere detection of human metaphase chromosome images using a candidate based method
[version 1; peer review: 2 approved with reservations]
Peer Reviewers Thomas Boudier; Tanvi Arora
PUBLISHED 01 Jul 2016
1-20 of 26 ARTICLES
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