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» Classification of microarray data using gene networks
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BMCBI
2007
130views more  BMCBI 2007»
15 years 4 months ago
Differential analysis for high density tiling microarray data
Background: High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method emp...
Srinka Ghosh, Heather A. Hirsch, Edward A. Sekinge...
JBI
2006
107views Bioinformatics» more  JBI 2006»
15 years 4 months ago
Knowledge guided analysis of microarray data
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Le...
BMCBI
2006
102views more  BMCBI 2006»
15 years 4 months ago
Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of
Background: The Thymidine kinase (Tk) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the la...
Tao Han, Jianyong Wang, Weida Tong, Martha M. Moor...
DAWAK
2005
Springer
15 years 9 months ago
Gene Expression Biclustering Using Random Walk Strategies
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rando...
Fabrizio Angiulli, Clara Pizzuti
BMCBI
2008
259views more  BMCBI 2008»
15 years 4 months ago
DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....