83 search results - page 3 / 17 » Improving the prediction accuracy in classification using th... |
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
ACIIDS
2010
IEEE
13 years 3 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...
GCB
2010
Springer
13 years 3 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...
JMLR
2010
13 years 1 days 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...
BMCBI
2007
13 years 5 months ago
2007
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...