A nonparametric model for quality control of database search results in shotgun proteomics.

ABSTRACT:

Background

Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bottleneck in MS/MS data processing. Recently, methods based on a randomized database have become popular for quality control of database search results. However, a consequent problem is the ignorance of how to combine different database search scores to improve the sensitivity of randomized database methods.

Results

In this paper, a multivariate nonlinear discriminate function (DF) based on the multivariate nonparametric density estimation technique was used to filter out false-positive database search results with a predictable false positive rate (FPR). Application of this method to control datasets

SUBMITTER: Zhang J 

PROVIDER: S-EPMC2267700 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature