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Considerations in Making Microarray Cross-Platform Correlations
Stanford, California August 08-August 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSBW.2005.442005 IEEE Computational Systems Bioin ...
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Manohar Kollegal, GE Global Research, Bangalore, India
Sudeshna Adak, GE Global Research, Bangalore, India
Richard Shippy, GE Healthcare Bio-Sciences, Chandler, Arizona, US
Timothy Sendera, GE Healthcare Bio-Sciences, Chandler, Arizona, US

Comparison and integration of expression data derived from diverse microarray platforms is challenging. Factors affecting cross-platform comparison of microarray data include the choice of normalization method used, annotation differences, presence of splice variants, RNA degradation and probe distance from 3? end. A thorough evaluation of two commercial microarray platforms to determine an appropriate methodology for making cross-platform correlations is described here.

Citation:
Manohar Kollegal, Sudeshna Adak, Richard Shippy, Timothy Sendera, "Considerations in Making Microarray Cross-Platform Correlations," csbw, pp.101-102, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005
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