Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications

  1. (PDF, 681 KB)
AuthorSearch for: ; Search for: ; Search for: ; Search for: ; Search for:
TypeBook Chapter
Book titleHandbook of Research on Computational and Systems Biology: Interdisciplinary Applications
Pages148186; # of pages: 38
AbstractIn this chapter, different methods and applications of biclustering algorithms to DNA microarray data analysis that have been developed in recent years are discussed and compared. Identification of biological significant clusters of genes from microarray experimental data is a very daunting task that emerged especially with the development of high throughput technologies. Various computational and evaluation methods based on diverse principles were introduced to identify new similarities among genes. Mathematical aspects of the models are highlighted, and applications to solve biological problems are discussed.
Publication date
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number16350487
Export citationExport as RIS
Report a correctionReport a correction
Record identifiera668df47-a589-40a9-a578-1a92b4cacee2
Record created2010-11-24
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)