Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data

✍ Scribed by Eric E. Schadt; Cheng Li; Byron Ellis; Wing H. Wong

• Publisher: John Wiley and Sons
• Year: 2001
• Tongue: English
• Weight: 187 KB
• Volume: 84
• Category: Article
• ISSN: 0730-2312
• DOI: 10.1002/jcb.10073

✦ Synopsis

Algorithms for performing feature extraction and normalization on high-density oligonucleotide gene expression arrays, have not been fully explored, and the impact these algorithms have on the downstream analysis is not well understood. Advances in such low-level analysis methods are essential to increase the sensitivity and speci®city of detecting whether genes are present and/or differentially expressed. We have developed and implemented a number of algorithms for the analysis of expression array data in a software application, the DNA-Chip Analyzer (dChip). In this report, we describe the algorithms for feature extraction and normalization, and present validation data and comparison results with some of the algorithms currently in use.