Mining gene expression data using domain knowledge

Nicolas Pasquier 1, * Claude Pasquier 2 Laurent Brisson 3 Martine Collard 1
* Corresponding author
3 Lab-STICC_TB_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Biology is now an information-intensive science and various research areas, like molecular biology, evolutionary biology or environmental biology, heavily depend on the availability and the efficient use of information. Data mining, that regroups several techniques for analyzing very large datasets, is used to solve problems in an increasing number of biological applications. This article focuses on the analysis of transcriptome, that reflects gene activity in a given cell population at a given time. We describe research themes in transcriptomics related to domain knowledge in biology. We are particularly interested in the way this knowledge can be efficiently combined and used during the various phases of a data mining process, in the most acknowledged applications in transcriptomics.
Liste complète des métadonnées

Cited literature [71 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00361427
Contributor : Nicolas Pasquier <>
Submitted on : Saturday, February 14, 2009 - 9:32:36 PM
Last modification on : Monday, February 25, 2019 - 3:14:12 PM
Document(s) archivé(s) le : Thursday, June 30, 2011 - 10:55:39 AM

File

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

Identifiers

  • HAL Id : hal-00361427, version 1

Citation

Nicolas Pasquier, Claude Pasquier, Laurent Brisson, Martine Collard. Mining gene expression data using domain knowledge. International Journal of Software and Informatics (IJSI), ISCAS, 2008, 2 (2), pp.215-231. ⟨hal-00361427⟩

Share

Metrics

Record views

567

Files downloads

420