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...

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Detalles Bibliográficos
Autores principales: Wang, Taifu, Sun, Jinghua, Zhang, Xiuqing, Wang, Wen-Jing, Zhou, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645205/
https://www.ncbi.nlm.nih.gov/pubmed/34917425
http://dx.doi.org/10.7717/peerj.12564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645205/
https://www.ncbi.nlm.nih.gov/pubmed/34917425
http://dx.doi.org/10.7717/peerj.12564

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