Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
ISSN: 0974-276X
David M Lubman
The University of Michigan Medical Center, 1150 West Medical Center Drive,
Building MSRB1, Rm A510B, Ann Arbor, MI 48109-0656
Tanzania
Research Article
Outlier-Based Differential Expression Analysis in Proteomics Studies
Author(s): Huy Vuong, Kerby Shedden, Yashu Liu and David M LubmanHuy Vuong, Kerby Shedden, Yashu Liu and David M Lubman
An active area in cancer biomarker research is the development of statistical methods to identify expression signatures reflecting the heterogeneity of cancer across affected individuals. Tomlins et al. [5] observed heterogeneous patterns of oncogene activation within several cancer types, and introduced a statistical method called Cancer Outlier Profile Analysis (COPA) to identify "cancer outlier genes". Several related statistical approaches have since been developed, but the operating characteristics of these procedures (e.g. power, false positive rate), have not yet been fully characterized, especially in a proteomics setting. Here, we use simulation to identify the degree to which an outlier pattern of differential expression must hold in order for outlier-based approaches to be more effective than mean-based approaches. We also propose a diagnostic procedure that chara.. View More»
DOI:
10.4172/jpb.1000177