Subnetwork Integration for Multi-Modal Signatures


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Documentation for package ‘SIMMS’ version 1.3.2

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SIMMS-package SIMMS - Subnetwork Integration for Multi-Modal Signatures
calculate.meta.survival Fit a meta-analytic Cox proportional hazards model to a single feature
calculate.network.coefficients Calculate Cox statistics for input dataset
calculate.sensitivity.stats Computes sensitivity measures
centre.scale.dataset Centre and scale a data matrix
create.classifier.multivariate Trains and tests a multivariate survival model
create.classifier.univariate Trains and tests a univariate (per subnetwork module) survival model
create.KM.plot Plots Kaplan-meier survival curve for a given risk grouping & survival params
create.sensitivity.plot Plots sensitivity analysis for class label dichotomization at supplied survtime cutoffs
create.survivalplots Plots Kaplan-meier survival curves
create.survobj Utility function for loading meta-analysis lists
derive.network.features Derive univariate features from pathway-derived networks
dichotomize.dataset Dichotomize a single dataset
dichotomize.meta.dataset Dichotomize and unlist a meta-analysis list
fit.coxmodel Fit a Cox proportional hazards model
fit.interaction.model Cox model two features separately and together
fit.survivalmodel Trains a multivariate survival model
get.adjacency.matrix A utility function to convert tab delimited networks file into adjacency matrices
get.chisq.stats Applies survdiff function
get.program.defaults A utility function to return the inst/ directory of the installed package and other default settings
load.cancer.datasets Load all cancer meta-analysis datasets
make.matrix Utility function used by 'get.adjacency.matrix()'
pred.survivalmodel Apply a multivariate survival model to validation datasets
prepare.training.validation.datasets Prepare training and validation datasets
SIMMS SIMMS - Subnetwork Integration for Multi-Modal Signatures