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Article

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

BMC bioinformatics - 6 Jun 2016

Acharjee Animesh, Kloosterman Bjorn, Visser Richard G F, Maliepaard Chris

Abstract excerpt

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 potato. In this study we present an approach to integrate these ~ omics data sets for the purpose of predicting...

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Identifiers

PMID: 27295212
DOI: 10.1186/s12859-016-1043-4
PMCID: PMC4905610

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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