Comparative Analysis of Methods for Identifying Recurrent Copy Number Alterations in Cancer
Author:
Publisher
Public Library of Science (PLoS)
Subject
Multidisciplinary
Reference81 articles.
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1. SVSR: A Program to Simulate Structural Variations and Generate Sequencing Reads for Multiple Platforms;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2020-05-01
2. HetRCNA: A Novel Method to Identify Recurrent Copy Number Alternations from Heterogeneous Tumor Samples Based on Matrix Decomposition Framework;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2020-03-01
3. BSAIC: Identification of Significant Copy Number Aberrations in Cancer;2017 10th International Symposium on Computational Intelligence and Design (ISCID);2017-12
4. Comprehensive analysis of copy number aberrations in microsatellite stable colon cancer in view of stromal component;British Journal of Cancer;2017-07
5. A novel network regularized matrix decomposition method to detect mutated cancer genes in tumour samples with inter-patient heterogeneity;Scientific Reports;2017-06-06
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