Title: Joint Modeling of the Gene-Expression and Bioassay Data, Taking
Description: Offers modeling the association between gene-expression and bioassay data, taking care of the effect due to a fingerprint feature and helps with several plots to better understand the analysis.

Title: Integrated Prediction using Univariate and Multivariate Random
Description: 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.
Imports: bootstrap, limSolve, ggplot2, stats

Description: 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.
Imports: Rcpp (>= 0.12.4), bootstrap, limSolve, ggplot2, caTools, stats

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

Title: Integrated Prediction using Uni-Variate and Multivariate Random
Imports: Rcpp (>= 0.12.4), bootstrap, ggplot2, caTools, stats,
Packaged: 2017-06-22 20:27:11 UTC; Raziur_Rahman

Imports: Rcpp (>= 0.12.4), bootstrap, ggplot2, utils, stats, limSolve,
Packaged: 2018-07-05 20:10:58 UTC; Raziur_Rahman

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