CNViz: An R/Shiny Application for Interactive Copy Number Variant Visualization in Cancer
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Health Informatics,Pathology and Forensic Medicine
Reference37 articles.
1. Transcriptional effects of copy number alterations in a large set of human cancers;Bhattacharya;Nat Commun.,2020
2. Copy number variation is highly correlated with differential gene expression: a pan-cancer study;Shao;BMC Med Genet.,2019
3. Technical laboratory standards for interpretation and reporting of acquired copy-number abnormalities and copy-neutral loss of heterozygosity in neoplastic disorders: a joint consensus recommendation from the American College of Medical Genetics and Genomics (ACMG) and the Cancer Genomics Consortium (CGC)
4. Integrated analysis of gene expression and copy number identified potential cancer driver genes with amplification-dependent overexpression in 1,454 solid tumors;Ohshima;Scient Rep.,2017
5. The landscape of genomic copy number alterations in colorectal cancer and their consequences on gene expression levels and disease outcome;Ried;Mol Aspects Med.,2019
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1. CNVizard – a lightweight streamlit application for an interactive analysis of copy number variants;2024-06-17
2. Genomic Catastrophe (Chromothripsis and Polyploidy) Correlates With Tumor Distribution in Extrauterine High-grade Serous Carcinoma;American Journal of Surgical Pathology;2024-04-18
3. The thorny complexities of visualization research for clinical settings: A case study from genomics;Frontiers in Bioinformatics;2023-03-29
4. GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortal;HRB Open Research;2022-09-12
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