MXM specifications

Information


Unique identifier OMICS_24303
Name MXM
Alternative name Mens eX Machina
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.4.0
Stability Stable
Source code URL https://cran.r-project.org/web/packages/MXM/
Maintained Yes

Subtools


  • gOMP
  • SES

Download


download.png

Versioning


Version Operating System DOI Size Download Info
1.3.1
64 bits
10.24347/OMIC_24303_1.3.1/wl64 1.13 Mo get_app

Documentation


Maintainers


  • person_outline Ioannis Tsamardinos
  • person_outline Michail Tsagris

Additional information


https://cran.r-project.org/web/packages/MXM/index.html

Publications for Mens eX Machina

MXM citations

 (2)
library_books

A comparative evaluation of data merging and meta analysis methods for reconstructing gene gene interactions

2016
BMC Bioinformatics
PMCID: 4905611
PMID: 27294826
DOI: 10.1186/s12859-016-1038-1

[…] The SES algorithm [] as implemented in the ‘MXM’ R package was used in order to reconstruct Ikaros regulatory network. The SES algorithm attempts to identify highly predictive signatures for a given target. In this context, a gene expression si […]

library_books

XomAnnotate: Analysis of Heterogeneous and Complex Exome A Step towards Translational Medicine

2015
PLoS One
PMCID: 4408095
PMID: 25905921
DOI: 10.1371/journal.pone.0123569

[…] ed in a particular pathway rest of the columns contain either 1 or 0 to indicate whether a gene is mutated or not in the KEGG pathway. We then generated three adjacency matrices of size NxM, NxN, and MxM from this Nx(M+1) matrix. We used the igraph (http://igraph.org) [] package in “R” for network analysis. The three undirected acyclic graphs constructed from these three adjacency matrices are: (i […]

MXM institution(s)
University of Crete, Heraklion, Greece; Sapienza, University of Rome, Rome, Italia
MXM funding source(s)
Supported by the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 617393.

MXM reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MXM