59 search results - page 6 / 12 » Applying RBF Neural Networks to Cancer Classification Based ... |
FLAIRS
2004
13 years 9 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ICMLA
2010
13 years 5 months ago
2010
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
BMCBI
2006
13 years 8 months ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
BMCBI
2008
13 years 8 months ago
2008
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
HIS
2004
13 years 9 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...