Subnetwork Integration for Multi-Modal Signatures
Fit a meta-analytic Cox proportional hazards model to a single feature
Calculate Cox statistics for input dataset
Computes sensitivity measures
Centre and scale a data matrix
Trains and tests a multivariate survival model
Trains and tests a univariate (per subnetwork module) survival model
Plots Kaplan-meier survival curve for a given risk grouping & survival...
Plots sensitivity analysis for class label dichotomization at supplied...
Plots Kaplan-meier survival curves
Utility function for loading meta-analysis lists
Derive univariate features from pathway-derived networks
Dichotomize a single dataset
Dichotomize and unlist a meta-analysis list
Fit a Cox proportional hazards model
Cox model two features separately and together
Trains a multivariate survival model
A utility function to convert tab delimited networks file into adjacen...
Applies survdiff function
A utility function to return the inst/ directory of the installed pack...
Load all cancer meta-analysis datasets
Utility function used by get.adjacency.matrix()
Apply a multivariate survival model to validation datasets
Prepare training and validation datasets
SIMMS - Subnetwork Integration for Multi-Modal Signatures
Algorithms to create prognostic biomarkers using biological genesets or networks.