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BMCBI
2007
194views more  BMCBI 2007»
13 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
BMCBI
2006
165views more  BMCBI 2006»
13 years 10 months ago
A stable gene selection in microarray data analysis
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
Kun Yang, Zhipeng Cai, Jianzhong Li, Guohui Lin
BMCBI
2006
118views more  BMCBI 2006»
13 years 10 months ago
Gene Expression Profiles Distinguish the Carcinogenic Effects of Aristolochic Acid in Target (Kidney) and Non-target (Liver) Tis
Background: Aristolochic acid (AA) is the active component of herbal drugs derived from Aristolochia species that have been used for medicinal purposes since antiquity. AA, howeve...
Tao Chen, Lei Guo, Lu Zhang 0013, Leming M. Shi, H...
BMCBI
2006
88views more  BMCBI 2006»
13 years 10 months ago
Effect of various normalization methods on Applied Biosystems expression array system data
Background: DNA microarray technology provides a powerful tool for characterizing gene expression on a genome scale. While the technology has been widely used in discovery-based m...
Catalin C. Barbacioru, Yulei Wang, Roger D. Canale...