Name
Abstract | ||
|---|---|---|
Microarray technology can measure the expression levels of thousands of genes in an experiment. This fact makes the use of computational methods in cancer research absolutely essential. One of the possible applications is in the use of Artificial Intelligence techniques. Several of these techniques have been used to analyze expression arrays, but there is a growing need for new and effective solutions. This paper presents a Case-based reasoning (CBR) system for automatic classification of leukemia patients from microarray data. The system incorporates novel algorithms for data mining that allow filtering, classification, and knowledge extraction. The system has been tested and the results obtained are presented in this paper. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.3233/HIS-2009-0089 | Int. J. Hybrid Intell. Syst. |
Keywords | Field | DocType |
microarray technology,decision support system,data mining,cancer research,artificial intelligence technique,computational method,expression array,case study,microarray data,leukemia classification,esoinn,cancer diagnosis,case-based reasoning,decision tree,expression level,hg u133,automatic classification,case based reasoning,case base reasoning,artificial intelligent,knowledge extraction | Data mining,Decision tree,Computer science,Decision support system,Model-based reasoning,Filter (signal processing),Artificial intelligence,Knowledge extraction,Gene chip analysis,Case-based reasoning,Machine learning | Journal |
Volume | Issue | Citations |
6 | 2 | 25 |
PageRank | References | Authors |
0.85 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan F. De Paz | 1 | 317 | 22.52 |
| Sara Rodrí/guez | 2 | 25 | 0.85 |
| Javier Bajo | 3 | 1451 | 118.96 |
| Juan M. Corchado | 4 | 2899 | 239.10 |