A machine learning framework for genotyping the structural variations with copy number variant

A machine learning framework for genotyping the structural variations with copy number variant

Abstract Background Genotyping of structural variation is an important computational problem in next generation sequence data analysis. However, in cancer genomes, the copy number variant(CNV) often coexists with other types of structural variations which significantly reduces the accuracy of the ex...

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Bibliographic Details
Main Authors: Tian Zheng, Xiaoyan Zhu, Xuanping Zhang, Zhongmeng Zhao, Xin Yi, Jiayin Wang, Hongle Li
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Medical Genomics
Subjects:
Cancer genomics
NGS data analysis
Genotyping structural variation
Copy number variant
Multiclass relevance vector machine
Online Access:http://link.springer.com/article/10.1186/s12920-020-00733-w

Internet

http://link.springer.com/article/10.1186/s12920-020-00733-w

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