Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Background: Microarray technology has become a widely accepted and standardized tool in biology. The first microarray data analysis programs were developed to support pair-wise co...
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Background: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use...
Jifeng Tang, Ben Vosman, Roeland E. Voorrips, C. G...
Background: In this study, we present a robust and reliable computational method for tag-togene assignment in serial analysis of gene expression (SAGE). The method relies on curre...