IntLIM: integration using linear models of metabolomics and gene expression data

IntLIM: integration using linear models of metabolomics and gene expression data

Abstract Background Integration of transcriptomic and metabolomic data improves functional interpretation of disease-related metabolomic phenotypes, and facilitates discovery of putative metabolite biomarkers and gene targets. For this reason, these data are increasingly collected in large (> 100...

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Bibliographic Details
Main Authors: Jalal K. Siddiqui, Elizabeth Baskin, Mingrui Liu, Carmen Z. Cantemir-Stone, Bofei Zhang, Russell Bonneville, Joseph P. McElroy, Kevin R. Coombes, Ewy A. Mathé
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Metabolomics
Transcriptomics
Linear Modeling
Integration
Online Access:http://link.springer.com/article/10.1186/s12859-018-2085-6

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http://link.springer.com/article/10.1186/s12859-018-2085-6

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