85 search results - page 4 / 17 » Feature Selection for Gene Expression Using Model-Based Entr... |
ACL
1998
13 years 7 months ago
1998
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
BMCBI
2006
13 years 5 months ago
2006
Background: One of the important goals of microarray research is the identification of genes whose expression is considerably higher or lower in some tissues than in others. We wo...
BMCBI
2005
13 years 5 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...
BMCBI
2006
13 years 5 months ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
ICASSP
2009
IEEE
14 years 16 days ago
2009
IEEE
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...