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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2011
14 years 9 months ago
SNP-based pathway enrichment analysis for genome-wide association studies
Background: Recently we have witnessed a surge of interest in using genome-wide association studies (GWAS) to discover the genetic basis of complex diseases. Many genetic variatio...
Lingjie Weng, Fabio Macciardi, Aravind Subramanian...
BMCBI
2006
164views more  BMCBI 2006»
15 years 3 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
BMCBI
2005
126views more  BMCBI 2005»
15 years 2 months ago
An algorithm for automatic evaluation of the spot quality in two-color DNA microarray experiments
Background: Although DNA microarray technologies are very powerful for the simultaneous quantitative characterization of thousands of genes, the quality of the obtained experiment...
Eugene Novikov, Emmanuel Barillot
BMCBI
2005
153views more  BMCBI 2005»
15 years 2 months ago
A comparative review of estimates of the proportion unchanged genes and the false discovery rate
Background: In the analysis of microarray data one generally produces a vector of p-values that for each gene give the likelihood of obtaining equally strong evidence of change by...
Per Broberg
IJBRA
2008
66views more  IJBRA 2008»
15 years 2 months ago
Integer programming-based approach to allocation of reporter genes for cell array analysis
Abstract Observing behaviors of protein pathways and genetic networks under various environments in living cells is essential for unraveling disease and developing drugs. For that ...
Morihiro Hayashida, Fuyan Sun, Sachiyo Aburatani, ...