Comparison of methods to identify aberrant expression patterns in individual patients: augmenting our toolkit for precision medicine.

ABSTRACT:

Background

Patient-specific aberrant expression patterns in conjunction with functional screening assays can guide elucidation of the cancer genome architecture and identification of therapeutic targets. Since most statistical methods for expression analysis are focused on differences between experimental groups, the performance of approaches for patient-specific expression analyses are currently less well characterized. A comparison of methods for the identification of genes that are dysregulated relative to a single sample in a given set of experimental samples, to our knowledge, has not been performed.

Methods

We systematically evaluated several methods including variations on the nearest neighbor based outlying degree method, as well as the Zscore and a robust variant fo

SUBMITTER: Bottomly D 

PROVIDER: S-EPMC3971350 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature