93 search results - page 11 / 19 » Minimum Entropy Clustering and Applications to Gene Expressi... |
BMCBI
2004
13 years 7 months ago
2004
Background: When publishing large-scale microarray datasets, it is of great value to create supplemental websites where either the full data, or selected subsets corresponding to ...
RECOMB
2002
Springer
14 years 7 months ago
2002
Springer
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
CGF
2008
13 years 7 months ago
2008
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
COMPLIFE
2005
Springer
14 years 1 months ago
2005
Springer
In the present paper we explain the basic ideas of Robust Perron Cluster Analysis (PCCA+) and exemplify the different application areas of this new and powerful method. Recently, ...
BMCBI
2010
13 years 7 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...