Integration of multi-omics data for prediction of phenotypic traits using random forest

BACKGROUND: In order to find genetic and metabolic pathways related to phenotypic traits of interest, we analyzed gene expression data, metabolite data obtained with GC-MS and LC-MS, proteomics data and a selected set of tuber quality phenotypic data from a diploid segregating mapping population of...

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Detalles Bibliográficos
Autores principales: Acharjee, Animesh, Kloosterman, Bjorn, Visser, Richard G. F., Maliepaard, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4905610/
https://www.ncbi.nlm.nih.gov/pubmed/27295212
http://dx.doi.org/10.1186/s12859-016-1043-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4905610/
https://www.ncbi.nlm.nih.gov/pubmed/27295212
http://dx.doi.org/10.1186/s12859-016-1043-4

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