84 search results - page 7 / 17 » Clustering gene expression data in SQL using locally adaptiv... |
BMCBI
2005
13 years 6 months ago
2005
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
CSB
2003
IEEE
14 years 4 hour ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
BMCBI
2007
13 years 6 months ago
2007
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
BMCBI
2010
13 years 6 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
BMCBI
2007
13 years 6 months ago
2007
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...