SUPERVISED MACHINE LEARNING MODEL FOR MICRORNA EXPRESSION DATA IN CANCER
The cancer cell gene expression data in general has a very large feature and requires analysis to find out which genes are strongly influencing the specific disease for diagnosis and drug discovery. In this paper several methods of supervised learning (decisien tree, naïve bayes, neural network, and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2017-06-01
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| Series: | Jurnal Ilmu Komputer dan Informasi |
| Subjects: | |
| Online Access: | http://jiki.cs.ui.ac.id/index.php/jiki/article/view/481 |