1674 search results - page 16 / 335 » Evaluation of clustering algorithms for gene expression data |
BMCBI
2007
14 years 9 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...
81
Voted
ISMB
2000
14 years 10 months ago
2000
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
84
Voted
IDEAL
2004
Springer
15 years 2 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...
SDM
2008
SIAM
14 years 11 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...
108
click to vote
BMCBI
2010
14 years 9 months ago
2010
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...