Files in andrewGhazi/bayesianMPRA
A Bayesian framework for modelling MPRA data with an informative, annotation based empirical prior

.Rbuildignore
.gitignore
DESCRIPTION
NAMESPACE
R/informative_bayesian_mpra.R R/mledistModified.R README.md analysis/BayesianAnalysis.R analysis/MCMCwithSigmaInference.R analysis/UlirschOptimization.R analysis/allVarAnalysis.R analysis/annotation_selection.R analysis/annovarUlirsch.R analysis/bmpra_power_sim.R
analysis/bugFile.bug
analysis/checkControlsInUlirsch.R
analysis/compareToWilcox.R analysis/compare_informativeBayes_to_Wilcox.R analysis/computeVariantVariance.R analysis/copyExistingSoftware.R analysis/dataAcquisition.R analysis/dist_fitting_redo.R analysis/findBestPredictors.R analysis/fullPosterior.R analysis/gammaFitTester.R analysis/generate_luc_sequences.R analysis/histoneMarkOutputcorrelations.R analysis/isolated_sampler_run.R analysis/jagsModel.R analysis/jointMeans.R analysis/kNNprior.R analysis/kNNpriorOutputs.R analysis/melnikovAnalysis.R analysis/multivariatePrior.R analysis/plotCode.R analysis/poster_histogram_plot.R analysis/predictor_variable_selection.R analysis/priorAnimationCode.R analysis/priorGain.R analysis/quantify_prior_performance.R analysis/raw_ulirsch_analysis.R analysis/regulomeDB.R analysis/singleNegBinCheck.R analysis/stanModelInformativePrior.R analysis/stanModelOnCounts.R analysis/sumLikelihoodsPrior.R analysis/tSNEhistoneVisualization.R analysis/tewheyAnalysis.R analysis/tewhey_annotation.R analysis/tewhey_rs_to_chr_pos.R analysis/tewhey_subset.R analysis/tmp.R analysis/ulirschNegBinWithPrior.R analysis/unstableParameterEstimates.R analysis/variational_bayes_tests.R analysis/visualizeVariantDistribution.R
bayesianMPRA.Rproj
data/mpra_model_string.rda
man/bayesian_mpra_analyze.Rd man/est_sample_params.Rd man/find_weights.Rd man/generate_dist_mat.Rd man/get_snp_TS_samples.Rd man/quant_norm_parameter.Rd man/run_sampler.Rd man/safelyFitNegBin.Rd
src/stan_files/mpra_model.stan
andrewGhazi/bayesianMPRA documentation built on April 5, 2018, 6:31 p.m.