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» Extensions to gene set enrichment
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BMCBI
2004
158views more  BMCBI 2004»
13 years 9 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
BMCBI
2007
176views more  BMCBI 2007»
13 years 10 months ago
Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
Markus Weniger, Julia C. Engelmann, Jörg Schu...
NAR
2006
83views more  NAR 2006»
13 years 9 months ago
KOBAS server: a web-based platform for automated annotation and pathway identification
There is an increasing need to automatically annotate a set of genes or proteins (from genome sequencing, DNA microarray analysis or protein 2D gel experiments) using controlled v...
Jianmin Wu, Xizeng Mao, Tao Cai, Jingchu Luo, Lipi...
BIBM
2008
IEEE
108views Bioinformatics» more  BIBM 2008»
14 years 4 months ago
Systematic Evaluation of Scaling Methods for Gene Expression Data
Even after an experimentally prepared gene expression data set has been pre-processed to account for variations in the microarray technology, there may be inconsistencies between ...
Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Mi...
BMCBI
2008
137views more  BMCBI 2008»
13 years 10 months ago
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays
Background: Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) datab...
Hans A. Kestler, André Müller, Johann ...