Recall and bias of retrieving gene expression microarray datasets through PubMed identifiers.

ABSTRACT:

Background

The ability to locate publicly available gene expression microarray datasets effectively and efficiently facilitates the reuse of these potentially valuable resources. Centralized biomedical databases allow users to query dataset metadata descriptions, but these annotations are often too sparse and diverse to allow complex and accurate queries. In this study we examined the ability of PubMed article identifiers to locate publicly available gene expression microarray datasets, and investigated whether the retrieved datasets were representative of publicly available datasets found through statements of data sharing in the associated research articles.

Results

In a recent article, Ochsner and colleagues identified 397 studies that had generated gene expression microa

SUBMITTER: Piwowar H 

PROVIDER: S-EPMC2990274 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature