title: Cross-platform Comparison of Two Pancreatic Cancer Phenotypes.
abstract: Model-based approaches for combining gene expression data from multiple high throughput platforms can be sensitive to technological artifacts when the number of samples in each platform is small. This paper proposes simple tools for quantifying concordance in a small study of pancreatic cancer cells lines with an emphasis on visualizations that uncover intra- and inter-platform variation. Using this approach, we identify several transcripts from the integrative analysis whose over-or under-expression in pancreatic cancer cell lines was validated by qPCR.
authors.affiliation: Departments of Oncology.
authors.forename: Robert B
authors.initials: RB
authors.lastname: Scharpf
authors.forename: Christine A
authors.initials: CA
authors.lastname: Iacobuzio-Donahue
authors.forename: Leslie
authors.initials: L
authors.lastname: Cope
authors.forename: Ingo
authors.initials: I
authors.lastname: Ruczinski
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Garrett-Mayer
authors.forename: Sindhu
authors.initials: S
authors.lastname: Lakkur
authors.forename: Domenico
authors.initials: D
authors.lastname: Campagna
authors.forename: Giovanni
authors.initials: G
authors.lastname: Parmigiani