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 |