svBreak: A New Approach for the Detection of Structural Variant Breakpoints Based on Convolutional Neural Network.

Structural variation (SV) is an important type of genome variation and confers susceptibility to human cancer diseases. Systematic analysis of SVs has become a crucial step for the exploration of mechanisms and precision diagnosis of cancers. The central point is how to accurately detect SV breakpoi...

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Bibliographic Details

Published in:	BioMed Research International pp. 1 - 9
Main Authors:	Wang, Shaoqiang, Li, Jie, Haque, A K Alvi, Zhao, Haiyong, Yang, Liying, Yuan, Xiguo
Format:	research tables/charts Journal Article
Published:	Wiley-Blackwell 3/19/2022
Online Access:	View this record in EBSCOhost