Sciweavers

12 search results - page 1 / 3
» Cancer Classification With MicroRNA Expression Patterns Foun...
Sort
View
JCP
2006
129views more  JCP 2006»
13 years 4 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
CEC
2007
IEEE
13 years 8 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
BMCBI
2005
131views more  BMCBI 2005»
13 years 4 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
BMCBI
2010
155views more  BMCBI 2010»
13 years 4 months ago
A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer
Background: In the study of cancer genomics, gene expression microarrays, which measure thousands of genes in a single assay, provide abundant information for the investigation of...
Fan Shi, Christopher Leckie, Geoff MacIntyre, Izha...
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong