23 search results - page 3 / 5 » Causal filter selection in microarray data |
ISMDA
2005
Springer
13 years 11 months ago
2005
Springer
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
KDD
2009
ACM
13 years 10 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
BMCBI
2005
13 years 5 months ago
2005
Background: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments...
CIBCB
2006
IEEE
13 years 9 months ago
2006
IEEE
Abstract-- The DNA microarray technology, originally developed to measure the level of gene expression, had become one of the most widely used tools in genomic study. Microarrays h...
CSB
2005
IEEE
13 years 8 months ago
2005
IEEE
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...