Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis-Reference-Cited by-同舟云学术

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Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis

Published:2021-06-19 Issue:9 Volume:5 Page:2100006
ISSN:2056-6646
Container-title:Global Challenges
language:en
Short-container-title:Global Challenges

Author:

Gao Bo¹²³⁴⁵,Zhao Yue¹³,Gao Yonghang¹³,Li Guojun²⁶,Wu Ling‐Yun¹³^ORCID

Affiliation:

1. IAM MADIS NCMIS Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

2. School of Mathematics Shandong University Jinan 250100 China

3. School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China

4. School of Public Health Capital Medical University Beijing 100069 China

5. Beijing Municipal Key Laboratory of Clinical Epidemiology Beijing 100069 China

6. Research Center for Mathematics and Interdisciplinary Sciences Shandong University Qingdao 266237 China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gch2.202100006

Reference69 articles.

1. Comprehensive genomic characterization defines human glioblastoma genes and core pathways

2. International network of cancer genome projects

3. Patterns of somatic mutation in human cancer genomes

4. The cancer genome

5. PredCID: prediction of driver frameshift indels in human cancer

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. Prediction of Cancer Driver Genes through Integrated Analysis of Differentially Expressed Genes at the Individual Level;Current Bioinformatics;2023-12

2. Identifying common driver modules by equilibrating coverage and mutual exclusivity across pan-cancer data;Neurocomputing;2022-07

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