Cargando…
A directed learning strategy integrating multiple omic data improves genomic prediction
Genomic prediction (GP) aims to construct a statistical model for predicting phenotypes using genome‐wide markers and is a promising strategy for accelerating molecular plant breeding. However, current progress of phenotype prediction using genomic data alone has reached a bottleneck, and previous s...
Autores principales: | Hu, Xuehai, Xie, Weibo, Wu, Chengchao, Xu, Shizhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737184/ https://www.ncbi.nlm.nih.gov/pubmed/30950198 http://dx.doi.org/10.1111/pbi.13117 |
Ejemplares similares
-
Integration strategies of multi-omics data for machine learning analysis
por: Picard, Milan, et al.
Publicado: (2021) -
Data Integration in Poplar: ‘Omics Layers and Integration Strategies
por: Weighill, Deborah, et al.
Publicado: (2019) -
Improved Prediction of Regulatory Element Using Hybrid Abelian Complexity Features with DNA Sequences
por: Wu, Chengchao, et al.
Publicado: (2019) -
mixOmics: An R package for ‘omics feature selection and multiple data integration
por: Rohart, Florian, et al.
Publicado: (2017) -
CustOmics: A versatile deep-learning based strategy for multi-omics integration
por: Benkirane, Hakim, et al.
Publicado: (2023)