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Association between a Prognostic Gene Signature and Functional Gene Sets
Author(s) -
Manuela Hummel,
Klaus H. Metzeler,
Christian Buske,
Stefan K. Bohlander,
Ulrich Mansmann
Publication year - 2008
Publication title -
bioinformatics and biology insights
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 23
ISSN - 1177-9322
DOI - 10.4137/bbi.s1018
Subject(s) - gene signature , computational biology , gene , context (archaeology) , gene regulatory network , signature (topology) , set (abstract data type) , gene expression profiling , gene expression , biology , bioinformatics , genetics , computer science , mathematics , paleontology , geometry , programming language
The development of expression-based gene signatures for predicting prognosis or class membership is a popular and challenging task. Besides their stringent validation, signatures need a functional interpretation and must be placed in a biological context. Popular tools such as Gene Set Enrichment have drawbacks because they are restricted to annotated genes and are unable to capture the information hidden in the signature's non-annotated genes.

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