Plant Computational and Quantitative Genomics

Plant Computational and Quantitative Genomics

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1-4 of 4 ARTICLES
https://doi.org/10.12688/f1000research.131134.2
Research Article metrics
Revised
Improving genomic prediction of rhizomania resistance in sugar beet (Beta vulgaris L.) by implementing epistatic effects and feature selection
[version 2; peer review: 1 approved with reservations, 3 not approved]
Peer Reviewers J Mitchell McGrath; Muhammad Massub Tehseen; Daniela Holtgräwe; Chenggen Chu
LATEST VERSION PUBLISHED 28 Aug 2024
https://doi.org/10.12688/f1000research.126463.2
Software Tool Article metrics
Revised
A2TEA: Identifying trait-specific evolutionary adaptations
[version 2; peer review: 2 approved]
Peer Reviewers Manuel Aranda and Octavio Salazar Moya; Rahul Siddharthan
LATEST VERSION PUBLISHED 12 Apr 2023
https://doi.org/10.12688/f1000research.122437.2
Research Article metrics
Revised
Genomic prediction in plants: opportunities for ensemble machine learning based approaches
[version 2; peer review: 1 approved, 2 approved with reservations]
Peer Reviewers Muhammad Tehseen Azhar; Miguel Pérez-Enciso; Yongkang Kim
  • Funder
  • Wageningen University and Research
LATEST VERSION PUBLISHED 10 Jan 2023
https://doi.org/10.12688/f1000research.125425.1
Review metrics
Machine learning algorithms: their applications in plant omics and agronomic traits’ improvement
[version 1; peer review: 3 not approved]
Peer Reviewers Aalt-Jan van Dijk; Hao Tong; Haixiao Hu
  • Funders
  • World Bank Group
  • Covenant University Center for Research, Innovation and Discovery
  • Communication Africa Centre of Excellence
PUBLISHED 04 Nov 2022
1-4 of 4 ARTICLES
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