DL-CNV: A deep learning method for identifying copy number variations based on next generation target sequencing

DL-CNV: A deep learning method for identifying copy number variations based on next generation target sequencing

Copy number variations (CNVs) play an important role in many types of cancer. With the rapid development of next generation sequencing (NGS) techniques, many methods for detecting CNVs of a single sample have emerged: (ⅰ) require genome-wide data of both case and control samples, (ⅱ) depend on seque...

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Bibliographic Details
Main Authors: Yunxiang Zhang, Lvcheng Jin, Bo Wang, Dehong Hu, Leqiang Wang, Pan Li, Junling Zhang, Kai Han, Geng Tian, Dawei Yuan, Jialiang Yang, Wei Tan, Xiaoming Xing, Jidong Lang
Format: Article
Language:English
Published: AIMS Press 2020-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
copy number variation
next generation sequencing
deep learning
convolutional neural network
target sequencing
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020011?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2020011?viewType=HTML

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