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

BMC Bioinformatics

Volumn 17, Issue 5, 2016, Pages

  Acharjee, Animesh ^a,c   Kloosterman, Bjorn ^a,b   Visser, Richard G F ^a   Maliepaard, Chris ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b KEYGENE N V   (Netherlands)

^c MRC HUMAN NUTRITION RESEARCH   (United Kingdom)

Author keywords

Data integration; Genetical genomics; Networks; Random forest

Indexed keywords

AMINO ACIDS; BIOMOLECULES; COLOR; DECISION TREES; DISCOLORATION; FORECASTING; GENE EXPRESSION; METABOLITES; NETWORKS (CIRCUITS); PLANTS (BOTANY); POPULATION STATISTICS; PROTEINS; TUBES (COMPONENTS);

CAFFEOYLQUINIC ACIDS; GENE EXPRESSION DATA; GENETICAL GENOMICS; MAPPING POPULATIONS; RANDOM FOREST METHODS; RANDOM FORESTS; SIGNIFICANT VARIABLES; ZEAXANTHIN EPOXIDASE;

DATA INTEGRATION;

PLANT PROTEIN;

CHEMISTRY; GENE EXPRESSION REGULATION; GENETICS; GENOMICS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MASS FRAGMENTOGRAPHY; MASS SPECTROMETRY; METABOLISM; METABOLOMICS; PHENOTYPE; PLANT CHROMOSOME; PLANT TUBER; POTATO; PROTEOMICS; QUANTITATIVE TRAIT LOCUS;

CHROMATOGRAPHY, HIGH PRESSURE LIQUID; CHROMOSOMES, PLANT; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; GENE EXPRESSION REGULATION, PLANT; GENOMICS; MASS SPECTROMETRY; METABOLOMICS; PHENOTYPE; PLANT PROTEINS; PLANT TUBERS; PROTEOMICS; QUANTITATIVE TRAIT LOCI; SOLANUM TUBEROSUM;

EID: 84973103407     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-1043-4     Document Type: Article

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