63 search results - page 1 / 13 » Integrating Microarray Data by Consensus Clustering |
DILS
2004
Springer
13 years 10 months ago
2004
Springer
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
ICTAI
2003
IEEE
13 years 10 months ago
2003
IEEE
With the exploding volume of microarray experiments comes increasing interest in mining repositories of such data. Meaningfully combining results from varied experiments on an equ...
BMCBI
2010
13 years 2 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
BMCBI
2008
13 years 5 months ago
2008
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...