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» Tissue classification with gene expression profiles
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BMCBI
2005
190views more  BMCBI 2005»
14 years 11 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
BMCBI
2008
135views more  BMCBI 2008»
14 years 11 months ago
Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles
Background: DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-sca...
Hailong Meng, Edward Lenn Murrelle, Guoya Li
JCP
2006
129views more  JCP 2006»
14 years 11 months ago
Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach
Abstract-- Some non-coding small RNAs, known as microRNAs (miRNAs), have been shown to play important roles in gene regulation and various biological processes. The abnormal expres...
Yun Zheng, Chee Keong Kwoh
BIOINFORMATICS
2005
110views more  BIOINFORMATICS 2005»
14 years 11 months ago
Classification of oligonucleotide fingerprints: application for microbial community and gene expression analyses
Oligonucleotide fingerprinting is an array-based approach used for analysis of microbial community composition and gene expression profiling. Oligonucleotide fingerprinting of rib...
Katechan Jampachaisri, Lea Valinsky, James Bornema...
BMCBI
2008
160views more  BMCBI 2008»
14 years 11 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...