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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
BayBioMS; Bioinformatics software; Computational Biology; Mass Spectrometry; Metabolomics; Multi-omics integration; RNA SEQ; gene set analysis; single sample; tumor subtype
Zeitschriftentitel:
Molecular & Cellular Proteomics
Jahr:
2019
Band / Volume:
18
Heft / Issue:
8 suppl 1
Seitenangaben Beitrag:
S153-S168
Volltext / DOI:
doi:10.1074/mcp.tir118.001251
Verlag / Institution:
American Society for Biochemistry & Molecular Biology (ASBMB)
E-ISSN:
1535-94761535-9484
Publikationsdatum:
26.06.2019
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