Deep survival analysis made easy

Tool-set to support Bayesian evidence synthesis in R

Create and edit reporting documents using R

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.

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

25 Years of Small-Molecule Optimization at Novartis: A Retrospective Analysis of Chemical Series Evolution