NODE is an R package for identifying transcription factor (TF) target genes by integrating TF binding sites, 3D chromatin interactions (Hi-C), and gene annotations. It builds a genomic graph to find regulatory paths from distal elements to gene promoters.

This repository contains the code used to analyze the data presented in the manuscript "Specificity and exon target space of splicing modifying compounds”.

tinydenseR is a landmark-based platform for single cell data analysis that identifies differential cell states and features. Modeling samples as replicates, tinydenseR enhances analytic efficiency and reproducibility while preserving the richness of single cell data.

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

Deep survival analysis made easy

A Python framework for evaluating and comparing multi-objective optimization (MOO) algorithms in molecular design and drug discovery.

Tool-set to support Bayesian evidence synthesis in R

Monitoring overall survival in pivotal trials for indolent cancer

PISCES is a pipeline for rapid transcript quantitation, genetic fingerprinting, and quality control assessment of RNAseq libraries using Salmon.