97 search results - page 1 / 20 » Using Machine Learning to Design and Interpret Gene-Expressi... |
AIM
2004
13 years 11 months ago
2004
Gene-expression microarrays, commonly called "gene chips," make it possible to simultaneously measure the rate at which a cell or tissue is expressing
BMCBI
2007
13 years 11 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
BMCBI
2006
13 years 11 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
WILF
2005
Springer
14 years 4 months ago
2005
Springer
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
BMCBI
2006
13 years 11 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...