CNV-P: a machine-learning framework for predicting high confident copy number variations
Background Copy-number variants (CNVs) have been recognized as one of the major causes of genetic disorders. Reliable detection of CNVs from genome sequencing data has been a strong demand for disease research. However, current software for detecting CNVs has high false-positive rates, which needs f...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2021-12-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/12564.pdf |