57 search results - page 5 / 12 » A multi-objective approach to discover biclusters in microar... |
WILF
2007
Springer
14 years 1 months ago
2007
Springer
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...
ICDE
2004
IEEE
14 years 8 months ago
2004
IEEE
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
PKDD
2004
Springer
14 years 24 days ago
2004
Springer
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
BMCBI
2008
13 years 7 months ago
2008
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
BMCBI
2007
13 years 7 months ago
2007
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...