252 search results - page 13 / 51 » Analysis techniques for microarray time-series data |
IV
2007
IEEE
14 years 2 months ago
2007
IEEE
Genomics is an important emerging scientific field that relies on meaningful data visualization as a key step in analysis. Specifically, most investigation of gene expression micr...
BMCBI
2005
13 years 8 months ago
2005
Background: Microarray analysis has become a widely used technique for the study of geneexpression patterns on a genomic scale. As more and more laboratories are adopting microarr...
TSMC
2008
13 years 8 months ago
2008
Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression p...
CSDA
2006
13 years 8 months ago
2006
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
IDEAL
2007
Springer
14 years 2 months ago
2007
Springer
We apply learning vector quantization to the analysis of tiling microarray data. As an example we consider the classification of C. elegans genomic probes as intronic or exonic. T...