Prediction of SNP Sequences via Gini Impurity Based Gradient Boosting Method
Recent research has witnessed the fostered application of machine learning approaches in analyzing the single nucleotide polymorphisms (SNP) data, which has been proved to be implicated in complex human diseases. In the identification of SNPs responsible for complex diseases, most genome-wide associ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8615995/ |