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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

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