117 search results - page 3 / 24 » FPF-SB : A Scalable Algorithm for Microarray Gene Expression... |
BIBE
2004
IEEE
13 years 10 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 ...
TCSB
2008
13 years 6 months ago
2008
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
JCB
2002
13 years 6 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
NIPS
2003
13 years 7 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...
BMCBI
2005
13 years 6 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...