26 search results - page 4 / 6 » Clustering gene expression data with a penalized graph-based... |
116
click to vote
BMCBI
2007
14 years 9 months ago
2007
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
BMCBI
2010
14 years 6 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...
SAC
2004
ACM
15 years 2 months ago
2004
ACM
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
BMCBI
2008
14 years 9 months ago
2008
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
RECOMB
2002
Springer
15 years 9 months ago
2002
Springer
We introduce a model-based analysis technique for extracting and characterizing rhythmic expression pro les from genome-wide DNA microarray hybridization data. These patterns are ...