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

Eric E. Schadt, Cheng Li, Byron Ellis, Wing H. Wong

Research output: Contribution to journalArticlepeer-review

288 Scopus citations

Abstract

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 specificity 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.

Original languageEnglish
Pages (from-to)120-125
Number of pages6
JournalJournal of Cellular Biochemistry
Volume84
Issue numberSUPPL. 37
DOIs
StatePublished - 2001
Externally publishedYes

Keywords

  • Feature extraction
  • Gene expression
  • Normalization
  • Oligonucleotide array

Fingerprint

Dive into the research topics of 'Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data'. Together they form a unique fingerprint.

Cite this