Name
Abstract | ||
|---|---|---|
With the most recent advances in bioinformatics, the amount of information available for analysing certain diseases has increased considerably. Specifically, the use of microarrays makes it possible to obtain information on genetic patterns. The analysis of this information requires the use of new computational models and the modification of existing models so that it becomes possible to work with such an elevated amount of data. This study will demonstrate the integration of an expression analysis in a case-based reasoning system that can apply data mining techniques to classify and obtain patterns that have been stored in a case database for leukaemia patients. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1080/00207160.2010.484100 | Int. J. Comput. Math. |
Keywords | Field | DocType |
feature selection,recent advance,pattern recognition,expression analysis,new computational model,genetic pattern,case database,elevated amount,leukaemia patient,certain disease,case-based reasoning system,adaptive algorithm,data mining technique,artificial intelligent,genetics,case base reasoning,decision tree,case based reasoning,data mining | Decision tree,Data mining,Feature selection,Computer science,Expression analysis,Computational model,Artificial intelligence,Adaptive algorithm,Case-based reasoning,Reasoning system,Machine learning | Journal |
Volume | Issue | ISSN |
88 | 9 | 0020-7160 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan F. De Paz | 1 | 317 | 22.52 |
| Sara Rodríguez | 2 | 62 | 7.21 |
| Vivian F. López Batista | 3 | 63 | 12.89 |
| Javier Bajo | 4 | 1451 | 118.96 |