DriverGenePathway: Identifying driver genes and driver pathways in cancer based on MutSigCV and statistical methods-Reference-Cited by-同舟云学术

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DriverGenePathway: Identifying driver genes and driver pathways in cancer based on MutSigCV and statistical methods

Published:2023 Issue: Volume:21 Page:3124-3135
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Xu Xiaolu,Qi Zitong^ORCID,Zhang Dawei,Zhang Meiwei,Ren Yonggong,Geng Zhaohong^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference31 articles.

1. Evaluating machine learning methodologies for identification of cancer driver genes;Malebary;Sci Rep,2021

2. Mutational heterogeneity in cancer and the search for new cancer-associated genes;Lawrence;Nature,2013

3. MuSiC: identifying mutational significance in cancer genomes;Dees;Genome Res.,2012

4. Challenges in identifying cancer genes by analysis of exome sequencing data;Hofree;Nat Commun,2016

5. Interplay of somatic alterations and immune infiltration modulates response to pd-1 blockade in advanced clear cell renal cell carcinoma;Braun;Nat Med,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DriverDetector: An R package providing multiple statistical methods for cancer driver genes detection and tools for downstream analysis;Heliyon;2024-07

2. Genomic progression for local invasion of cutaneous squamous cell carcinoma from the superficial to the deep portion;International Journal of Cancer;2024-05-13

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