Integrated Prediction using Univariate and Multivariate Random
Forests
An implementation of a framework for drug sensitivity prediction from various genetic characterizations using ensemble approaches. Random Forests or Multivariate Random Forest predictive models can be generated from each genetic characterization that are then combined using a Least Square Regression approach. IntegratedMRF also provides options for the use of different error estimation approaches of Leave-one-out, Bootstrap, Re-substitution and 0.632Bootstrap along with generation of prediction confidence interval using Jackknife-after-Bootstrap approach.

An implementation of a framework for drug sensitivity prediction from various genetic characterizations using ensemble approaches. Random Forests or Multivariate Random Forest predictive models can be generated from each genetic characterization that are then combined using a Least Square Regression approach. It also provides options for the use of different error estimation approaches of Leave-one-out, Bootstrap, N-fold cross validation and 0.632+Bootstrap along with generation of prediction confidence interval using Jackknife-after-Bootstrap approach.
Rcpp (>= 0.12.4), bootstrap, limSolve, ggplot2, caTools, stats

Rcpp (>= 0.12.4), bootstrap, ggplot2, caTools, stats, limSolve

Integrated Prediction using Uni-Variate and Multivariate Random
Forests
Rcpp (>= 0.12.4), bootstrap, ggplot2, caTools, stats,
limSolve, MultivariateRandomForest

Rcpp (>= 0.12.4), bootstrap, ggplot2, utils, stats, limSolve,
MultivariateRandomForest

Simulation of Inter-Related Genomic Datasets
Generates three inter-related genomic datasets : methylation, gene expression and protein expression.

The package provides an R version of the InterVA4 software for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.

The package provides an R version of the InterVA4 software for
coding cause of death from verbal autopsies. It also provides simple
graphical representation of individual and population level statistics.