800 search results - page 11 / 160 » A Repulsive Clustering Algorithm for Gene Expression Data |
BMCBI
2007
13 years 7 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...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
SDM
2008
SIAM
13 years 9 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...
BIBE
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...