161 search results - page 6 / 33 » Learning Rough Set Classifiers from Gene Expressions and Cli... |
88
Voted
WCE
2007
14 years 10 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
NIPS
2004
14 years 10 months ago
2004
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
BMCBI
2008
14 years 9 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
87
Voted
JIFS
2002
14 years 9 months ago
2002
Microarray technologies have allowed the measurement of expression of multiple genes simultaneously. Gene expression levels can be used to classify tissues into diagnostic or progn...