metabolite_data: Metabolomics data

In DrDimont: Drug Response Prediction from Differential Multi-Omics Networks

Metabolomics data

Description

Metabolomics analysis of breast cancer patients data sampled randomly to generate distributions similar to those reported (e.g., in Terunuma et al. (2014)). The data is stratified by estrogen receptor (ER) expression status ('groupA' = ER+, 'groupB' = ER-). The data was reduced to 50 metabolites. For each group a data frame is given containing the raw data with the metabolites as rows and the samples as columns. The first three columns contain the metabolite identifiers (biochemical_name, metabolon_id and pubchem_id).

Usage

metabolite_data

Format

groupA

ER+ data; data.frame: first three columns contain metabolite identifiers biochemical_name, metabolon_id and pubchem_id; other columns are samples containing the quantified metabolite data per metabolite

groupB

ER- data; data.frame: first three columns contain metabolite identifiers biochemical_name, metabolon_id and pubchem_id; other columns are samples containing the quantified metabolite data per metabolite

Source

Terunuma, Atsushi et al. “MYC-driven accumulation of 2-hydroxyglutarate is associated with breast cancer prognosis.” The Journal of clinical investigation vol. 124,1 (2014): 398-412. doi:10.1172/JCI71180

https://www.metabolon.com

Pubchem IDs: https://pubchem.ncbi.nlm.nih.gov

MetaboAnalyst: https://www.metaboanalyst.ca/faces/upload/ConvertView.xhtml

DrDimont documentation built on Sept. 23, 2022, 5:06 p.m.