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» An Expressive Extension of TLC
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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
14 years 11 days ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
BMCBI
2010
109views more  BMCBI 2010»
13 years 11 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
BMCBI
2008
94views more  BMCBI 2008»
13 years 11 months ago
A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods
Background: The Golden Spike data set has been used to validate a number of methods for summarizing Affymetrix data sets, sometimes with seemingly contradictory results. Much less...
Richard D. Pearson
ICDT
2009
ACM
128views Database» more  ICDT 2009»
14 years 11 months ago
Efficient asymmetric inclusion between regular expression types
The inclusion of Regular Expressions (REs) is the kernel of any type-checking algorithm for XML manipulation languages. XML applications would benefit from the extension of REs wi...
Dario Colazzo, Giorgio Ghelli, Carlo Sartiani
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 11 months ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei