Package: graphsim 1.0.3

graphsim: Simulate Expression Data from 'igraph' Networks

Functions to develop simulated continuous data (e.g., gene expression) from a sigma covariance matrix derived from a graph structure in 'igraph' objects. Intended to extend 'mvtnorm' to take 'igraph' structures rather than sigma matrices as input. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. Here we present a versatile statistical framework to simulate correlated gene expression data from biological pathways, by sampling from a multivariate normal distribution derived from a graph structure. This package allows the simulation of biological pathways from a graph structure based on a statistical model of gene expression. For example methods to infer biological pathways and gene regulatory networks from gene expression data can be tested on simulated datasets using this framework. This also allows for pathway structures to be considered as a confounding variable when simulating gene expression data to test the performance of genomic analyses.

Authors:S. Thomas Kelly [aut, cre], Michael A. Black [aut, ths], Robrecht Cannoodt [ctb], Jason Cory Brunson [ctb]

graphsim_1.0.3.tar.gz
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graphsim.pdf |graphsim.html
graphsim/json (API)
NEWS

# Install 'graphsim' in R:
install.packages('graphsim', repos = c('https://tomkellygenetics.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tomkellygenetics/graphsim/issues

Datasets:

On CRAN:

benchmarkinggene-expressiongene-regulatory-networksgeneticsgenomic-data-analysisgenomicsgraph-algorithmsigraph-networksjossngs-analysissimulated-datasimulation-modeling

19 exports 23 stars 2.20 score 18 dependencies 2 scripts 471 downloads

Last updated 2 years agofrom:c46be3f278. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:generate_expressiongenerate_expression_matmake_adjmatrix_graphmake_commonlink_adjmatmake_commonlink_graphmake_distance_adjmatmake_distance_commmake_distance_graphmake_distance_laplacianmake_laplacian_adjmatmake_laplacian_graphmake_sigma_mat_adjmatmake_sigma_mat_commmake_sigma_mat_dist_adjmatmake_sigma_mat_dist_graphmake_sigma_mat_graphmake_sigma_mat_laplacianmake_state_matrixplot_directed

Dependencies:bitopscaToolsclicpp11gluegplotsgtoolsigraphKernSmoothlatticelifecyclemagrittrMatrixmatrixcalcmvtnormpkgconfigrlangvctrs

Simulating network graph structure in continuous data

Rendered fromsimulate_expression.html.asisusingR.rsp::asison Sep 05 2024.

Last update: 2020-07-17
Started: 2020-07-17

Readme and manuals

Help Manual

Help pageTopics
The graphsim packagegraphsim-package graphsim
Generate Simulated Expressiongenerate_expression generate_expression_mat
Generate Adjacency Matrixmake_adjmatrix make_adjmatrix_graph
Generate Common Link Matrixmake_commonlink make_commonlink_adjmat make_commonlink_graph
Generate Distance Matrixmake_distance make_distance_adjmat make_distance_comm make_distance_graph make_distance_laplacian make_relationship
Generate Laplacian Matrixmake_laplacian make_laplacian_adjmat make_laplacian_graph
Generate Sigma (Sigma) Matrixmake_sigma make_sigma_mat_adjmat make_sigma_mat_comm make_sigma_mat_dist_adjmat make_sigma_mat_dist_graph make_sigma_mat_graph make_sigma_mat_laplacian
Make State Matrixmake_state make_state_matrix
PI3K/AKT activationPi3K_AKT_graph
PI3K CascadePi3K_graph
Extensions to igraph for Customising plotsplot.directed plot_directed
#' RAF/MAP kinase cascadeRAF_MAP_graph
TGF-beta receptor signaling activates SMADsTGFBeta_Smad_graph