Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: DriverGenePathway: Identifying driver genes and driver pathways in cancer based on MutSigCV and statistical methods
المؤلفون: Xiaolu Xu, Zitong Qi, Dawei Zhang, Meiwei Zhang, Yonggong Ren, Zhaohong Geng
المصدر: Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3124-3135 (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Biotechnology
مصطلحات موضوعية: Cancer research, Driver gene, Driver pathway, MutSigCV, Statistical methods, Biotechnology, TP248.13-248.65
الوصف: Although computational methods for driver gene identification have progressed rapidly, it is far from the goal of obtaining widely recognized driver genes for all cancer types. The driver gene lists predicted by these methods often lack consistency and stability across different studies or datasets. In addition to analytical performance, some tools may require further improvement regarding operability and system compatibility. Here, we developed a user-friendly R package (DriverGenePathway) integrating MutSigCV and statistical methods to identify cancer driver genes and pathways. The theoretical basis of the MutSigCV program is elaborated and integrated into DriverGenePathway, such as mutation categories discovery based on information entropy. Five methods of hypothesis testing, including the beta-binomial test, Fisher combined p-value test, likelihood ratio test, convolution test, and projection test, are used to identify the minimal core driver genes. Moreover, de novo methods, which can effectively overcome mutational heterogeneity, are introduced to identify driver pathways. Herein, we describe the computational structure and statistical fundamentals of the DriverGenePathway pipeline and demonstrate its performance using eight types of cancer from TCGA. DriverGenePathway correctly confirms many expected driver genes with high overlap with the Cancer Gene Census list and driver pathways associated with cancer development. The DriverGenePathway R package is freely available on GitHub: https://github.com/bioinformatics-xu/DriverGenePathway.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2001-0370
Relation: http://www.sciencedirect.com/science/article/pii/S2001037023002015; https://doaj.org/toc/2001-0370
DOI: 10.1016/j.csbj.2023.05.019
URL الوصول: https://doaj.org/article/f8ce25a148d041a2bdafc776ae3713ba
رقم الانضمام: edsdoj.f8ce25a148d041a2bdafc776ae3713ba
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20010370
DOI:10.1016/j.csbj.2023.05.019