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» Analysis of Proteomic Pattern Data for Cancer Detection
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BMCBI
2005
212views more  BMCBI 2005»
13 years 7 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
IWPSE
2003
IEEE
14 years 28 days ago
CVS Release History Data for Detecting Logical Couplings
The dependencies and interrelations between classes and modules affect the maintainability of object-oriented systems. It is therefore important to capture weaknesses of the softw...
Harald Gall, Mehdi Jazayeri, Jacek Krajewski
BMCBI
2011
12 years 11 months ago
A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
Juan R. González, Benjamin Rodriguez-Santia...
BMCBI
2006
173views more  BMCBI 2006»
13 years 7 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen