Gene Ontology rewritten for computing gene functional similarity

被引：0

作者：

Visconti, Alessia ^{[1
,3
]}

Cordero, Francesca ^{[2
,3
]}

Botta, Marco ^{[1
,3
]}

Calogero, Raffaele A. ^{[2
,3
]}

机构：

[1] Univ Turin, Dept Comp Sci, Turin, Italy

[2] Univ Turin, Dept Biol & Clin Sci, Turin, Italy

[3] Univ Turin, Ctr Complex Syst Mol Biol & Med SysBioM, Turin, Italy

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS 2010) | 2010年

关键词：

SEMANTIC SIMILARITY; EXPRESSION DATA;

D O I：

10.1109/CISIS.2010.30

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Discovery biological organisation of the cell in modules network is a challenging task. Currently, approaches based on a controlled vocabulary, as Gene Ontology, to identify the function similarity among a pair of genes have developed. We present RGO: a rewriting of the GO aiming at obtaining a more compact and informative ontology, leading to closer biological regulated GO terms. The RGO will help researcher to easily identify the genes belonging to the same network module without the need of additional data.

引用

页码：694 / 699

页数：6