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» Microarray Gene Expression Data Analysis
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IEEEMM
2007
146views more  IEEEMM 2007»
14 years 9 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
BMCBI
2007
127views more  BMCBI 2007»
14 years 9 months ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
FUIN
2002
123views more  FUIN 2002»
14 years 9 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
15 years 10 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
JCB
2000
68views more  JCB 2000»
14 years 9 months ago
Analysis of Variance for Gene Expression Microarray Data
M. Kathleen Kerr, Mitchell Martin, Gary A. Churchi...