BMCBI
2007
13 years 5 months ago
2007
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
BMCBI
2007
13 years 5 months ago
2007
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
BMCBI
2007
13 years 5 months ago
2007
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
BMCBI
2008
13 years 5 months ago
2008
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
BMCBI
2010
13 years 5 months ago
2010
Background: High-throughput measurement of transcript intensities using Affymetrix type oligonucleotide microarrays has produced a massive quantity of data during the last decade....
BMCBI
2007
13 years 5 months ago
2007
Background: Experimental studies of gene expression have identified some of the individual molecular components and elementary reactions that comprise and control cellular behavio...
BMCBI
2007
13 years 5 months ago
2007
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
BMCBI
2007
13 years 5 months ago
2007
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
BMCBI
2007
13 years 5 months ago
2007
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
BMCBI
2008
13 years 5 months ago
2008
Background: Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good...