The fully R based tool peakCombiner is a user-friendly, transparent, modular and customizable package with the purpose to create a consensus peak file from genomic input regions. The aim is to allow even novice R users to create good quality combined peak sets to be used as the starting point for most downstream differential analyses.

Deep survival analysis made easy

Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms

Tool-set to support Bayesian evidence synthesis in R

Create and edit reporting documents using R

Monitoring overall survival in pivotal trials for indolent cancer

Repository collecting risk assessment data on the packages installed on our Statistical Computing Environment at Novartis.

A Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions.

The package analyzes chromatin and multi-omic experiments. It extends the MultiAssayExperiment object and builds a ChrawExperiment object from ENCODE’s output. It performs QC plotting, identifies differential events and other functionalities. More details in package vignettes.

Prediction of Small-Molecule Developability Using Large-Scale In Silico ADMET Models