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Multimodel Pathway Enrichment Methods for Functional Evaluation of Expression Regulation.

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Author

Summary, in English

Functional analysis of quantitative expression data is becoming common practice within the proteomics and transcriptomics fields; however, a gold standard for this type of analysis has yet not emerged. To grasp the systemic changes in biological systems, efficient and robust methods are needed for data analysis following expression regulation experiments. We discuss several conceptual and practical challenges potentially hindering the emergence of such methods and present a novel method, called FEvER, that utilizes two enrichment models in parallel. We also present analysis of three disparate differential expression data sets using our method and compare our results to other established methods. With many useful features such as pathway hierarchy overview, we believe the FEvER method and its software implementation will provide a useful tool for peers in the field of proteomics. Furthermore, we show that the method is also applicable to other types of expression data.

Publishing year

2012

Language

English

Pages

2955-2967

Publication/Series

Journal of Proteome Research

Volume

11

Issue

5

Document type

Journal article

Publisher

The American Chemical Society (ACS)

Topic

  • Immunology in the medical area

Status

Published

ISBN/ISSN/Other

  • ISSN: 1535-3893