97 search results - page 1 / 20 » Using Machine Learning to Design and Interpret Gene-Expressi... |
AIM
2004
13 years 5 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 5 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 5 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
13 years 10 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 5 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...