Open AccessFinding regulatory modules through large-scale gene-expression data analysis
Author(s) -
Morten Kloster,
Chao Tang,
Ned S. Wingreen
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti096
Subject(s) - scale (ratio) , computer science , computational biology , gene expression , expression (computer science) , gene , data mining , biology , genetics , programming language , physics , quantum mechanics
The use of gene microchips has enabled a rapid accumulation of gene-expression data. One of the major challenges of analyzing this data is the diversity, in both size and signal strength, of the various modules in the gene regulatory networks of organisms.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom