149 search results - page 7 / 30 » Gene selection from microarray data for cancer classificatio... |
AIME
2009
Springer
13 years 11 months ago
2009
Springer
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
ACIIDS
2010
IEEE
13 years 5 months ago
2010
IEEE
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
BMCBI
2006
13 years 7 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
JMLR
2010
13 years 2 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...
COMPLIFE
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...