Multimodel Pathway Enrichment Methods for Functional Evaluation of Expression Regulation.
Författare
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.
Avdelning/ar
Publiceringsår
2012
Språk
Engelska
Sidor
2955-2967
Publikation/Tidskrift/Serie
Journal of Proteome Research
Volym
11
Issue
5
Dokumenttyp
Artikel i tidskrift
Förlag
The American Chemical Society (ACS)
Ämne
- Immunology in the medical area
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1535-3893