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Title:

MOGSA: Integrative Single Sample Gene-set Analysis of Multiple Omics Data

Document type:
Zeitschriftenaufsatz
Author(s):
Meng, Chen; Basunia, Azfar; Peters, Bjoern; Gholami, Amin Moghaddas; Kuster, Bernhard; Culhane, Aedín C.
Abstract:
Gene-set analysis (GSA) summarizes individual molecular measurements to more interpretable pathways or gene-sets and has become an indispensable step in the interpretation of large-scale omics data. However, GSA methods are limited to the analysis of single omics data. Here, we introduce a new computation method termed multi-omics gene-set analysis (MOGSA), a multivariate single sample gene-set analysis method that integrates multiple experimental and molecular data types measured over the same...     »
Keywords:
BayBioMS; Bioinformatics software; Computational Biology; Mass Spectrometry; Metabolomics; Multi-omics integration; RNA SEQ; gene set analysis; single sample; tumor subtype
Journal title:
Molecular & Cellular Proteomics
Year:
2019
Journal volume:
18
Journal issue:
8 suppl 1
Pages contribution:
S153-S168
Fulltext / DOI:
doi:10.1074/mcp.tir118.001251
Publisher:
American Society for Biochemistry & Molecular Biology (ASBMB)
E-ISSN:
1535-94761535-9484
Date of publication:
26.06.2019
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