title: Functional relationships between gene pairs in oral squamous cell carcinoma.
abstract: We developed a novel method for the discovery of functional relationships between pairs of genes based on gene expression profiles generated from microarrays. This approach examines all possible pairs of genes and identifies those in which the relationship between the two genes changes in different diseases or conditions. In contrast to previous methods that have focused on differentially expressed genes, this method attempts to find changes in the correlation between genes. These changes may be indicative of the functional relationships related to a disease mechanism. We demonstrate the utility of this approach by applying it to an oral squamous cell carcinoma (OSCC) microarray data set. Our results suggest new directions for future experimental investigations.
authors.affiliation: Department of Oral Medicine, Harvard School of Dental Medicine.
authors.forename: Winston Patrick
authors.initials: WP
authors.lastname: Kuo
authors.forename: Eduardo
authors.initials: E
authors.lastname: Mendez
authors.forename: Chu
authors.initials: C
authors.lastname: Chen
authors.forename: Mark E
authors.initials: ME
authors.lastname: Whipple
authors.forename: Greg
authors.initials: G
authors.lastname: Farell
authors.forename: Nicholas
authors.initials: N
authors.lastname: Agoff
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Park
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000235:genetics*; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008957:Models, Genetic; D009062:Mouth Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis; D018709:Statistics, Nonparametric