Careful feature selection is key in classification of Alzheimer's disease patients based on whole-genome sequencing data
Despite great increase of the amount of data from genome-wide association studies (GWAS) and whole-genome sequencing (WGS), the genetic background of a partially heritable Alzheimer's disease (AD) is not fully understood yet. Machine learning methods are expected to help researchers in the anal...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |