1200 search results - page 30 / 240 » Semantic Mining and Analysis of Gene Expression Data |
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
BMCBI
2007
13 years 8 months ago
2007
Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
ICDE
2008
IEEE
14 years 10 months ago
2008
IEEE
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
FLAIRS
2004
13 years 10 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ICDE
2006
IEEE
14 years 10 months ago
2006
IEEE
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...