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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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CSB
2004
IEEE
120views Bioinformatics» more  CSB 2004»
13 years 11 months ago
Dynamic Algorithm for Inferring Qualitative Models of Gene Regulatory Networks
It is still an open problem to identify functional relations with o(N
Zheng Yun, Kwoh Chee Keong
FLAIRS
2004
13 years 9 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
2007
176views more  BMCBI 2007»
13 years 7 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
BMCBI
2006
203views more  BMCBI 2006»
13 years 7 months ago
Genome-wide prediction of transcriptional regulatory elements of human promoters using gene expression and promoter analysis dat
Background: A complete understanding of the regulatory mechanisms of gene expression is the next important issue of genomics. Many bioinformaticians have developed methods and alg...
Seon-Young Kim, YongSung Kim
BMCBI
2007
173views more  BMCBI 2007»
13 years 7 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...