Extracted knowledge interpretation in mining biological data: A survey

Abstract : This paper discusses different approaches for integrating biological knowledge in gene expression analysis. Indeed we are interested in the fifth step of microarray analysis procedure which focuses on knowledge discovery via interpretation of the microarray results. We present a state of the art of methods for processing this step and we propose a classification in three facets: prior or knowledge-based, standard or expression-based and co-clustering. First we discuss briefly the purpose and usefulness of our classification. Then, following sections give an insight into each facet. We summarize each section with a comparison between remarkable approaches.
Document type :
Journal articles
Liste complète des métadonnées

Cited literature [58 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00476710
Contributor : Nicolas Pasquier <>
Submitted on : Tuesday, April 27, 2010 - 10:02:15 AM
Last modification on : Tuesday, February 13, 2018 - 12:34:04 PM
Document(s) archivé(s) le : Tuesday, September 28, 2010 - 1:12:58 PM

File

Extracted_knowledge_interpreta...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00476710, version 1

Collections

Citation

Ricardo Martinez, Martine Collard. Extracted knowledge interpretation in mining biological data: A survey. International Journal of Computer Science & Applications, 2007, 4 (2), pp.145-163. ⟨hal-00476710⟩

Share

Metrics

Record views

209

Files downloads

116