Integrative analysis to select cancer candidate biomarkers to targeted validation.

ABSTRACT: Targeted proteomics has flourished as the method of choice for prospecting for and validating potential candidate biomarkers in many diseases. However, challenges still remain due to the lack of standardized routines that can prioritize a limited number of proteins to be further validated in human samples. To help researchers identify candidate biomarkers that best characterize their samples under study, a well-designed integrative analysis pipeline, comprising MS-based discovery, feature selection methods, clustering techniques, bioinformatic analyses and targeted approaches was performed using discovery-based proteomic data from the secretomes of three classes of human cell lines (carcinoma, melanoma and non-cancerous). Three feature selection algorithms, namely, Beta-binomial, Nearest S

SUBMITTER: Kawahara R 

PROVIDER: S-EPMC4791256 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature