Considerations in making microarray cross-platform correlations

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 dista...

Full description

Saved in:
Bibliographic Details
Published in2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05) pp. 101 - 102
Main Authors Kollegal, M., Adak, S., Shippy, R., Sendera, T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Computational biology
Degradation
Gene expression
Humans
Manufacturing processes
Medical services
Pancreas
Probes
Protocols
RNA
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:0769524427
9780769524429
DOI:10.1109/CSBW.2005.44