Cross-platform Comparison of Two Pancreatic Cancer Phenotypes

Cross-platform Comparison of Two Pancreatic Cancer Phenotypes

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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...

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Bibliographic Details
Main Authors: Robert B. Scharpf, Christine A. Iacobuzio-Donahue, Leslie Cope, Ingo Ruczinski, Elizabeth Garrett-Mayer, Sindhu Lakkur, Domenico Campagna, Giovanni Parmigiani
Format: Article
Language:English
Published: SAGE Publishing 2010-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.4137/CIN.S5755
Description
Summary: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.
ISSN:1176-9351

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