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» Microarray Gene Expression Data Analysis
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BMCBI
2006
85views more  BMCBI 2006»
15 years 2 months ago
On the statistical assessment of classifiers using DNA microarray data
Background: In this paper we present a method for the statistical assessment of cancer predictors which make use of gene expression profiles. The methodology is applied to a new d...
Nicola Ancona, Rosalia Maglietta, Ada Piepoli, Ann...
KDD
2004
ACM
142views Data Mining» more  KDD 2004»
16 years 2 months ago
Meta-classification of Multi-type Cancer Gene Expression Data
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
Benny Y. M. Fung, Vincent T. Y. Ng
BMCBI
2010
127views more  BMCBI 2010»
15 years 2 months ago
SplicerAV: a tool for mining microarray expression data for changes in RNA processing
Background: Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray...
Timothy J. Robinson, Michaela A. Dinan, Mark Dewhi...
BIBE
2004
IEEE
120views Bioinformatics» more  BIBE 2004»
15 years 6 months ago
Identifying Projected Clusters from Gene Expression Profiles
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-...
BIOCOMP
2006
15 years 3 months ago
A Heuristic Approach to Scoring Gene Clustering Algorithms
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
Longde Yin, Chun-Hsi Huang