89 search results - page 3 / 18 » Learning Bayesian Classifiers from Gene-Expression MicroArra... |
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
WCE
2007
13 years 5 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
GCB
2010
Springer
13 years 2 months ago
2010
Springer
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
IJON
2006
13 years 4 months ago
2006
A correlation-based similarity measure is derived for generalized relevance learning vector quantization (GRLVQ). The resulting GRLVQ-C classifier makes Pearson correlation availa...
CSB
2003
IEEE
13 years 9 months ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...