Setting a generalized functional linear model (GFLM) for the classification of different types of cancer
This work aims to classify the DNA sequences of healthy and malignant cancer respectively. For this, supervised and unsupervised classification methods from a functional context are used; i.e. each strand of DNA is an observation. The observations are discretized, for that reason different ways to r...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Escuela Politécnica Nacional (EPN)
2016-11-01
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| Series: | Latin-American Journal of Computing |
| Subjects: | |
| Online Access: | http://lajc.epn.edu.ec/index.php/LAJC/article/view/110 |