Improving the scaling normalization for high-density oligonucleotide GeneChip expression microarrays
-
Correspondence: Chao Lu chao.lu@utoronto.ca
BMC Bioinformatics 2004, 5:103 doi:10.1186/1471-2105-5-103
Accesses
- Last 30 days: 39 accesses
- Last 365 days: 449 accesses
- All time: 4376 accesses
Cited by
BioMed Central: 2 citations
|
Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data Carl R Pelz, Molly Kulesz-Martin, Grover Bagby, Rosalie C Sears BMC Bioinformatics 2008, 9:520 (4 December 2008) |
|
Correlation test to assess low-level processing of high-density oligonucleotide microarray data Alexander Ploner, Lance D Miller, Per Hall, Jonas Bergh, Yudi Pawitan BMC Bioinformatics 2005, 6:80 (31 March 2005) A new graphical method for assessing the quality of low-level analysis of microarray expression data shows, among other things, that normalization, while necessary, should not be based on housekeeping genes.
|