Discovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information

J Xi, M Wang, A Li - Molecular BioSystems, 2017 - pubs.rsc.org
The accumulating availability of next-generation sequencing data offers an opportunity to
pinpoint driver genes that are causally implicated in oncogenesis through computational …

Advancing cancer driver gene identification through an integrative network and pathway approach

J Song, Z Song, Y Gong, L Ge, W Lou - Journal of Biomedical Informatics, 2024 - Elsevier
Objective Cancer is a complex genetic disease characterized by the accumulation of various
mutations, with driver genes playing a crucial role in cancer initiation and progression …

Discovering potential cancer driver genes by an integrated network-based approach

K Shi, L Gao, B Wang - Molecular BioSystems, 2016 - pubs.rsc.org
Although a lot of methods have been proposed to identify driver genes, how to separate the
driver mutations from the passenger mutations is still a challenging problem in cancer …

[HTML][HTML] LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network

PJ Wei, D Zhang, J Xia, CH Zheng - BMC bioinformatics, 2016 - Springer
Background Cancer is a complex disease which is characterized by the accumulation of
genetic alterations during the patient's lifetime. With the development of the next-generation …

Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes

Y Kan, L Jiang, Y Guo, J Tang… - Briefings in …, 2022 - academic.oup.com
Identifying driver genes, exactly from massive genes with mutations, promotes accurate
diagnosis and treatment of cancer. In recent years, a lot of works about uncovering driver …

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 …

Identifying driver genes for individual patients through inductive matrix completion

T Zhang, SW Zhang, Y Li - Bioinformatics, 2021 - academic.oup.com
Motivation The driver genes play a key role in the evolutionary process of cancer. Effectively
identifying these driver genes is crucial to cancer diagnosis and treatment. However, due to …

[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 …

[HTML][HTML] DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways

J Xi, M Wang, A Li - PeerJ Computer Science, 2017 - peerj.com
Cataloging mutated driver genes that confer a selective growth advantage for tumor cells
from sporadic passenger mutations is a critical problem in cancer genomic research …

[HTML][HTML] 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 …