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Number of citations per year for the bioinformatics software tool DriverNet
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This map represents all the scientific publications referring to DriverNet per scientific context
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DriverNet specifications

Information


Unique identifier OMICS_05319
Name DriverNet
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Sohrab P. Shah

Publication for DriverNet

DriverNet citations

 (19)
library_books

Cancer driver mutation prediction through Bayesian integration of multi omic data

2018
PLoS One
PMCID: 5940219
PMID: 29738578
DOI: 10.1371/journal.pone.0196939

[…] ation data.Some recent studies have started to explore transcriptome data for systematic prediction of cancer drivers. These studies are limited in several important ways. Methods such as MOCA [] and DriverNet [] examined mutations at gene levels, ignoring the functional difference of the mutations within a gene. Methods such as xSeq [] measured the effects of individual mutations in gene expressi […]

library_books

Integration of multiple networks and pathways identifies cancer driver genes in pan cancer analysis

2018
BMC Genomics
PMCID: 5756345
PMID: 29304754
DOI: 10.1186/s12864-017-4423-x

[…] number of genes in the pathways that are highly connected.The third group combines multi-omics data to overcome the mutational heterogeneity of cancer. This group includes MutsigCV [], MDPFinder [], DriverNet [], DawnRank [], iPAC [], MSEA [], NetBox [] and MeMo []. MutsigCV was applied to exome sequences and gene expression levels, while MDPFinder is an integrative model of mutation and expressi […]

library_books

ndmaSNF: cancer subtype discovery based on integrative framework assisted by network diffusion model

2017
Oncotarget
PMCID: 5687665
PMID: 29179495
DOI: 10.18632/oncotarget.21643

[…] mon to all tumors which may ignore the heterogeneity between various subtypes. In this study, we first use ndmaSNF on various data sources to gain cancer subtypes, and for each cancer subtype, we use DriverNet [] to get potential driver genes. We then did pathway enrichment analysis on those genes per subtype. And the top 60 potential driver genes attained from DriverNet were used for subtype-spec […]

library_books

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

2017
Oncotarget
PMCID: 5601632
PMID: 28938536
DOI: 10.18632/oncotarget.19481

[…] ss the method. As defined by the 20/20 rule, only 138 driver genes have been discovered to date. Both of these datasets were used to assess the accuracy of our method. We compared our method with the DriverNet, DawnRank, frequency-based method and MUFFINN method.In accordance with both approaches mentioned above, we used the same datasets to perform the analysis and restricted the comparisons to t […]

library_books

Progression inference for somatic mutations in cancer

2017
PMCID: 5415494
PMID: 28492066
DOI: 10.1016/j.heliyon.2017.e00277

[…] ssembles together lists of the top ranked driver genes determined from the use of 15 packages, including ActiveDriver, Dendrix, MDPFinder, Simon, NetBox, OncodriveFM, MutSigCV, MEMo, CoMDP, DawnRank, DriverNet, e-Driver, iPAC, MSEA, and OncodriveCLUST. lists the cancer types, sample size, and descriptions of the driver genes used, including chromosome location, gene ontology nomenclature, and mol […]

library_books

The use of gene interaction networks to improve the identification of cancer driver genes

2017
PeerJ
PMCID: 5274523
PMID: 28149674
DOI: 10.7717/peerj.2568

[…] s in graph format is growing, and integration is considered at the graph level.In this paper we seek to determine if combining interaction graphs improves the identification of cancer driver genes by DriverNet and DawnRank. They were both developed using the R environment, which provides powerful data analysis and graphical features. DriverNet met the standards set by Bioconductor (). We combined […]


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DriverNet institution(s)
Department of Molecular Oncology, British Columbia Cancer Agency, Vancouver, BC, Canada; Faculty of Information Technology, Monash University, Wellington Road, Clayton, VIC, Australia; Department of Computer Science, University of British Columbia, Vancouver, BC, Canada; Bioinformatics Training Program, University of British Columbia, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; Centre for Translational and Applied Genomics, BC Cancer Agency,Vancouver, BC, Canada; Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, UK
DriverNet funding source(s)
Supported by the BC Cancer Foundation, Canadian Breast Cancer Foundation, Eli-Lilly Canada, Michael Smith Foundation for Health Research, and the Canadian Cancer Society (grant no. 2012-701125).

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