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...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/ad731120167f4781abc75638c1c55012 |
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