56 search results - page 5 / 12 » Evolutionary Biclustering of Microarray Data |
BMCBI
2010
13 years 8 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
BMCBI
2005
13 years 8 months ago
2005
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
TEC
2008
13 years 8 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
EVOW
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
BIBE
2007
IEEE
14 years 2 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...