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ICANN
2009
Springer
13 years 4 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
BMCBI
2008
164views more  BMCBI 2008»
13 years 6 months ago
MeInfoText: associated gene methylation and cancer information from text mining
Background: DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a va...
Yu-Ching Fang, Hsuan-Cheng Huang, Hsueh-Fen Juan
ICASSP
2011
IEEE
12 years 10 months ago
Biological pathway inference using manifold embedding
Disease occurs due to aberrant modulation of biological pathways. Identification of activated gene pathways from gene expression data is an important problem. In this work, we de...
Arvind Rao, Alfred O. Hero
BIBE
2003
IEEE
128views Bioinformatics» more  BIBE 2003»
13 years 11 months ago
A Repulsive Clustering Algorithm for Gene Expression Data
: - Facing the development of microarray technology, clustering is currently a leading technique to gene expression data analysis. In this paper, we propose a novel algorithm calle...
Chyun-Shin Cheng, Shiuan-Sz Wang
ISMB
2000
13 years 7 months ago
Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis
The immensevolumeof data resulting from DNAmicroarray experiments, accompaniedby an increase in the numberof publications discussing gene-related discoveries, presents a majordata...
Hagit Shatkay, Stephen Edwards, W. John Wilbur, Ma...