Feature selection algorithm based on dual correlation filters for cancer-associated somatic variants
Abstract Background Since the development of sequencing technology, an enormous amount of genetic information has been generated, and human cancer analysis using this information is drawing attention. As the effects of variants on human cancer become known, it is important to find cancer-associated...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-10-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-020-03767-0 |