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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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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4905610/ https://ncbi.nlm.nih.gov/pubmed/27295212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1043-4 |
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