DocumentCode
2527450
Title
Considerations in making microarray cross-platform correlations
Author
Kollegal, Manohar ; Adak, Sudeshna ; Shippy, Richard ; Sendera, Timothy
Author_Institution
Computational Biol. & Biostat. Lab, GE Global Res., Banglore, India
fYear
2005
fDate
8-11 Aug. 2005
Firstpage
101
Lastpage
102
Abstract
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.
Keywords
biology computing; data integrity; macromolecules; molecular biophysics; organic compounds; RNA degradation; annotation differences; cross-platform correlation; diverse microarray platform; microarray; normalization method; probe distance; splice variants; Computational biology; Degradation; Gene expression; Humans; Manufacturing processes; Medical services; Pancreas; Probes; Protocols; RNA;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN
0-7695-2442-7
Type
conf
DOI
10.1109/CSBW.2005.44
Filename
1540558
Link To Document