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VLDB
2004
ACM
115views Database» more  VLDB 2004»
14 years 2 months ago
Semantic Mining and Analysis of Gene Expression Data
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Ant...
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
14 years 19 days ago
Redundant genes and the evolution of robustness
In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in f...
Russell Thomason, Terence Soule
BMCBI
2006
165views more  BMCBI 2006»
13 years 9 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
BMCBI
2004
115views more  BMCBI 2004»
13 years 8 months ago
Quantifying the relationship between co-expression, co-regulation and gene function
Background: It is thought that genes with similar patterns of mRNA expression and genes with similar functions are likely to be regulated via the same mechanisms. It has been diff...
Dominic J. Allocco, Isaac S. Kohane, Atul J. Butte
ISMB
2000
13 years 10 months ago
A Pragmatic Information Extraction Strategy for Gathering Data on Genetic Interactions
We present in this paper a pragmatic strategy to perform information extraction from biologic texts. Since the emergence of the information extraction field, techniques have evolv...
Denys Proux, François Rechenmann, Laurent J...