Multi-Dendrix statistics

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Citations per year

Number of citations per year for the bioinformatics software tool Multi-Dendrix

Tool usage distribution map

This map represents all the scientific publications referring to Multi-Dendrix per scientific context
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Multi-Dendrix specifications


Unique identifier OMICS_06146
Name Multi-Dendrix
Alternative name Multiple Pathways De novo Driver Exclusivity
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Maintained Yes


No version available


Publication for Multiple Pathways De novo Driver Exclusivity

Multi-Dendrix citations


Computational Methods for Characterizing Cancer Mutational Heterogeneity

Front Genet
PMCID: 5469877
PMID: 28659971
DOI: 10.3389/fgene.2017.00083

[…] e set and the mutual exclusivity of mutations in the set, and uses a Markov Chain Monte Carlo (MCMC) approach for identifying mutually exclusive gene sets altered in a large fraction of the patients. Multi-Dendrix (Leiserson et al., ) employs the same score as Dendrix and extends it to multiple sets, and uses an integer linear program (ILP) based algorithm to simultaneously find multiple sets of m […]


Identification of driver modules in pan cancer via coordinating coverage and exclusivity

PMCID: 5482642
PMID: 28415609
DOI: 10.18632/oncotarget.16433

[…] MCMC algorithm, the BLP method is more efficient. A multi-objective optimization model based on a Genetic Algorithm (MOGA) was introduced to adjust the trade-off between coverage and exclusivity []. Multi-Dendrix [] designed a new metric as the sum of Dendrix weights and adopted a new programming model to identify multiple modules simultaneously. CoMDP proposed an exact mathematical programming m […]


Discovery of cancer common and specific driver gene sets

Nucleic Acids Res
PMCID: 5449640
PMID: 28168295
DOI: 10.1093/nar/gkx089

[…] tion among different biological pathways and functional modules may shed new lights on the understanding of the cellular mechanisms underlying carcinogenesis. Leiserson et al. () generalized Dendrix (Multi-Dendrix) to simultaneously identify multiple driver gene sets in cancer. More importantly, the collaboration among different pathways means these gene sets are likely simultaneously mutated in a […]


Computational approaches for the identification of cancer genes and pathways

Wiley Interdiscip Rev Syst Biol Med
PMCID: 5215607
PMID: 27863091
DOI: 10.1002/wsbm.1364

[…] overlap, vary in size, and belong to different cancer subtypes. Mutex and CoMEt have been shown to exhibit an improved performance in the prediction of mutually exclusive events compared to Dendrix, Multi‐Dendrix, MEMo, and RME.A unique approach for detecting mutually exclusive patterns of genetic alterations either within the same tissue or across different tissue types is MEMCover. MEMCover use […]


An Evolutionary Approach for Identifying Driver Mutations in Colorectal Cancer

PLoS Comput Biol
PMCID: 4575033
PMID: 26379039
DOI: 10.1371/journal.pcbi.1004350

[…] nscript isoforms, variation in mutation types, different background mutation rates, redundancy of the genetic code and others and used a likelihood ratio test to obtain significance levels. Moreover, Multi-Dendrix, DriverNet, MuSiC, and MEMo [, , , –] were also developed to identify driver pathways using network-based approaches. An integrated meta-analysis using multiple methods can be accessed t […]


High Prevalence and Clinical Relevance of Genes Affected by Chromosomal Breaks in Colorectal Cancer

PLoS One
PMCID: 4574474
PMID: 26375816
DOI: 10.1371/journal.pone.0138141

[…] To further investigate whether recurrent breakpoint genes may drive CRC development, the Multi-Dendrix algorithm was applied to identify oncogenic pathways or gene modules based on two criteria, namely: 1) the events within one module must be mutually exclusive, and 2) these events should […]

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Multi-Dendrix institution(s)
Department of Computer Science and Center for Computational Molecular Biology, Brown University, Providence, RI, USA

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