Tool-set to support Bayesian evidence synthesis in R

An R-repository to implement a double robust version of the WATCH workflow published in Sechidis et al. (2024)

generative text-to-imaging model for predicting cell phenotypic responses to compounds via high content imaging

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

Deep survival analysis made easy

This pipeline is designed for AAV integration site analysis using Target Enrichment Sequencing (TES) coupled with PacBio long-read sequencing. It enables the detection of integration site breakpoints and provides information on the structure of the integrated AAV vector genome to support the safety assessment of AAV-based gene therapies.

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

Parse a simplified JSONPath-like syntax

Public gallery of BR Open Source projects

tinydenseR is a landmark-based platform for single cell data analysis that identifies differentially abundant cell types and differentially expressed features, including subtle within-cluster state changes. Modeling samples as replicates, tinydenseR enhances analytic efficiency and reproducibility while preserving the richness of single cell data