33 search results - page 4 / 7 » Investigation of Random Forest Performance with Cancer Micro... |
ECML
2004
Springer
13 years 11 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
HIS
2004
13 years 7 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
BMCBI
2006
13 years 6 months ago
2006
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
BMCBI
2010
13 years 6 months ago
2010
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
BMCBI
2005
13 years 6 months ago
2005
Background: Chromosomal copy number changes (aneuploidies) play a key role in cancer progression and molecular evolution. These copy number changes can be studied using microarray...