| Title | Denver Groups Classification of Human Chromosomes Using CANN Teams |
| Publication Type | Journal Article |
| Year of Publication | 2013 |
| Date Published | 09/2013 |
| Journal | Southeast Europe Journal of Soft Computing |
| Volume | 2 |
| Issue | 2 |
| Pagination | 21-25 |
| Publication Language | eng |
| Authors | Gagula-Palalic, S, Can, M |
| ISSN Number | 2233 -1859 |
| Abstract | Unbanded human chromosome can be classified into seven Denver Groups (A-G) based on their lengths and the ratio of the length of the shorter arm to the whole length of the chromosome, which is called the centromere index (CI). In this article, the novel artificial neural network committee machines technique (CANNT) developed earlier, is applied to the Denver Groups and the correct classification rate in Denver Groups Classification of Human Chromosomes raised from 96%, to a level of 98%. |
| Refereed Designation | Refereed |