Discovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information
The accumulating availability of next-generation sequencing data offers an opportunity to
pinpoint driver genes that are causally implicated in oncogenesis through computational …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
cancers. In recent years, driver gene discovery based on massive mutation data and gene …