161 search results - page 2 / 33 » Learning Rough Set Classifiers from Gene Expressions and Cli... |
BMCBI
2006
13 years 4 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
BMCBI
2008
13 years 4 months ago
2008
Background: The amount of gene expression data in the public repositories, such as NCBI Gene Expression Omnibus (GEO) has grown exponentially, and provides a gold mine for bioinfo...
WILF
2005
Springer
13 years 10 months ago
2005
Springer
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
BMCBI
2005
13 years 4 months ago
2005
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...
GCB
2010
Springer
13 years 2 months ago
2010
Springer
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...