DriverMP enables improved identification of cancer driver genes

Y Liu, J Han, T Kong, N Xiao, Q Mei, J Liu - GigaScience, 2023 - academic.oup.com
Background Cancer is widely regarded as a complex disease primarily driven by genetic
mutations. A critical concern and significant obstacle lies in discerning driver genes amid an …

[HTML][HTML] Integrating omics data and protein interaction networks to prioritize driver genes in cancer

T Zhang, D Zhang - Oncotarget, 2017 - ncbi.nlm.nih.gov
Although numerous approaches have been proposed to discern driver from passenger,
identification of driver genes remains a critical challenge in the cancer genomics field. Driver …

Trans-Driver: a deep learning approach for cancer driver gene discovery with multi-omics data

H Yang, L Zhang, D Zhou, D Li, J Zhang, Z Wang - bioRxiv, 2022 - biorxiv.org
Driver genes play a crucial role in the growth of cancer cells. Accurate identification of
cancer driver genes is helping to strengthen the understanding of cancer pathogenesis and …

An efficient and easy-to-use network-based integrative method of multi-omics data for cancer genes discovery

T Wei, B Fa, C Luo, L Johnston, Y Zhang, Z Yu - Frontiers in genetics, 2021 - frontiersin.org
Identifying personalized driver genes is essential for discovering critical biomarkers and
developing effective personalized therapies of cancers. However, few methods consider …

Discovery of cancer common and specific driver gene sets

J Zhang, S Zhang - Nucleic acids research, 2017 - academic.oup.com
Cancer is known as a disease mainly caused by gene alterations. Discovery of mutated
driver pathways or gene sets is becoming an important step to understand molecular …

Identifying potential cancer driver genes by genomic data integration

Y Chen, J Hao, W Jiang, T He, X Zhang, T Jiang… - Scientific reports, 2013 - nature.com
Cancer is a genomic disease associated with a plethora of gene mutations resulting in a
loss of control over vital cellular functions. Among these mutated genes, driver genes are …

DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

C Wang, J Shi, J Cai, Y Zhang, X Zheng, N Zhang - BMC bioinformatics, 2022 - Springer
Background Recent advances in next-generation sequencing technologies have helped
investigators generate massive amounts of cancer genomic data. A critical challenge in …

DriverFinder: A Gene Length‐Based Network Method to Identify Cancer Driver Genes

PJ Wei, D Zhang, HT Li, J Xia, CH Zheng - Complexity, 2017 - Wiley Online Library
Integration of multi‐omics data of cancer can help people to explore cancers
comprehensively. However, with a large volume of different omics and functional data being …

Network embedding framework for driver gene discovery by combining functional and structural information

X Chu, B Guan, L Dai, J Liu, F Li, J Shang - BMC genomics, 2023 - Springer
Comprehensive analysis of multiple data sets can identify potential driver genes for various
cancers. In recent years, driver gene discovery based on massive mutation data and gene …

Detection of driver modules with rarely mutated genes in cancers

F Li, L Gao, B Wang - IEEE/ACM Transactions on …, 2018 - ieeexplore.ieee.org
Identifying driver modules or pathways is a key challenge to interpret the molecular
mechanisms and pathogenesis underlying cancer. An increasing number of studies suggest …