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» The ParTriCluster Algorithm for Gene Expression Analysis
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BMCBI
2002
101views more  BMCBI 2002»
13 years 5 months ago
Match-Only Integral Distribution (MOID) Algorithm for high-density oligonucleotide array analysis
Background: High-density oligonucleotide arrays have become a valuable tool for highthroughput gene expression profiling. Increasing the array information density and improving th...
Yingyao Zhou, Ruben Abagyan
FLAIRS
2004
13 years 7 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen
BMCBI
2004
158views more  BMCBI 2004»
13 years 5 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
BMCBI
2006
101views more  BMCBI 2006»
13 years 5 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
BMCBI
2006
114views more  BMCBI 2006»
13 years 5 months ago
Empirical validation of the S-Score algorithm in the analysis of gene expression data
Background: Current methods of analyzing Affymetrix GeneChip
Richard E. Kennedy, Kellie J. Archer, Michael F. M...