1674 search results - page 13 / 335 » Evaluation of clustering algorithms for gene expression data |
84
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
NIPS
2003
14 years 10 months ago
2003
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
BIBE
2004
IEEE
15 years 1 months ago
2004
IEEE
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
100
click to vote
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
BMCBI
2008
14 years 9 months ago
2008
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...