732 search results - page 55 / 147 » Modeling Gene Expression from Microarray Expression Data wit... |
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
JMLR
2010
13 years 3 months ago
2010
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
ALIFE
2008
13 years 8 months ago
2008
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
BMCBI
2008
13 years 8 months ago
2008
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
ISMIS
2005
Springer
14 years 2 months ago
2005
Springer
The notion of rules is very popular and appears in different flavors, for example as association rules in data mining or as functional (or multivalued) dependencies in databases. ...