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» A Parallel Algorithm for Gene Expressing Data Biclustering
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85
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ITSSA
2006
109views more  ITSSA 2006»
14 years 10 months ago
Gene Expression Analysis in Multi-Agent Environment
Abstract. This paper presents a multi-agent approach to gene expression analysis and illustrates the working steps using real dataset produced from a microarray experiment. The ana...
H. C. Lam, M. Vazquez, B. Juneja, Scott C. Fahrenk...
97
Voted
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
14 years 10 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
PPSN
2004
Springer
15 years 3 months ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
103
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BMCBI
2002
147views more  BMCBI 2002»
14 years 10 months ago
Expression profiling of human renal carcinomas with functional taxonomic analysis
Background: Molecular characterization has contributed to the understanding of the inception, progression, treatment and prognosis of cancer. Nucleic acid array-based technologies...
Michael A. Gieseg, Theresa Cody, Michael Z. Man, S...
75
Voted
BIOCOMP
2006
14 years 11 months ago
A Heuristic Approach to Scoring Gene Clustering Algorithms
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
Longde Yin, Chun-Hsi Huang