Sciweavers

1305 search results - page 18 / 261
» Clustering Genes Using Heterogeneous Data Sources
Sort
View
JCDL
2006
ACM
152views Education» more  JCDL 2006»
14 years 4 months ago
Also by the same author: AKTiveAuthor, a citation graph approach to name disambiguation
The desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particul...
Duncan M. McRae-Spencer, Nigel R. Shadbolt
BMCBI
2005
190views more  BMCBI 2005»
13 years 10 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
ISBRA
2009
Springer
14 years 5 months ago
Integrating Multiple-Platform Expression Data through Gene Set Features
Abstract. We demonstrate a set-level approach to the integration of multiple platform gene expression data for predictive classification and show its utility for boosting classi...
Matej Holec, Filip Zelezný, Jirí Kl&...
BMCBI
2007
143views more  BMCBI 2007»
13 years 11 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
BMCBI
2010
124views more  BMCBI 2010»
13 years 11 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...