514 search results - page 30 / 103 » Gene Expression Clustering with Functional Mixture Models |
ISBRA
2009
Springer
14 years 3 months ago
2009
Springer
Identifying gene regulatory networks from high-throughput gene expression data is one of the most important goals of bioinformatics, but it remains difficult to define what makes a...
BMCBI
2006
13 years 9 months ago
2006
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
BMCBI
2006
13 years 9 months ago
2006
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
BMCBI
2006
13 years 9 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
BMCBI
2010
13 years 9 months ago
2010
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...