153 search results - page 29 / 31 » Worst-Case Analysis of Selective Sampling for Linear-Thresho... |
BMCBI
2008
13 years 7 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
BMCBI
2004
13 years 7 months ago
2004
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
KAIS
2011
13 years 2 months ago
2011
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
BIOINFORMATICS
2007
13 years 7 months ago
2007
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...