Finding function: evaluation methods for functional genomic data.

ABSTRACT:

Background

Accurate evaluation of the quality of genomic or proteomic data and computational methods is vital to our ability to use them for formulating novel biological hypotheses and directing further experiments. There is currently no standard approach to evaluation in functional genomics. Our analysis of existing approaches shows that they are inconsistent and contain substantial functional biases that render the resulting evaluations misleading both quantitatively and qualitatively. These problems make it essentially impossible to compare computational methods or large-scale experimental datasets and also result in conclusions that generalize poorly in most biological applications.

Results

We reveal issues with current evaluation methods here and suggest new approaches

SUBMITTER: Myers CL 

PROVIDER: S-EPMC1560386 | biostudies-literature | 2006 Jul

REPOSITORIES: biostudies-literature