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Novartis/CompExonSpace’s past year of commit activity
This repository contains the code used to analyze the data presented in the manuscript "Specificity and exon target space of splicing modifying compounds”.
This pipeline is designed for AAV integration site analysis using Target Enrichment Sequencing (TES) coupled with PacBio long-read sequencing. It enables the de…
tinydenseR is a landmark-based platform for single cell data analysis that identifies differentially abundant cell types and differentially expressed features, …
ChemScreener is an active learning pipeline for small-molecule screening. In each cycle, it trains an ensemble of multi-task Chemprop models, scores an unlabele…
Bayesian logistic regression with optional EX/NEX modeling enables flexible borrowing from historical or concurrent data. The safety model supports dose-escalat…
This project demonstrates how to train a model that can generate synthetic brain (T1w) MRI data. The work was presented as a poster at ICAART 2025. Our code tra…
singeCellComic is an interactive Shiny application designed to teach the fundamental concepts of single-cell RNA sequencing (scRNA-seq) analysis through a fun, …
Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple d…
The codebase created to support the application of artificial intelligence for predicting the subcellular localization of solute carrier transporter (SLC) prote…
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 geno…
The package analyzes chromatin and multi-omic experiments. It extends the MultiAssayExperiment object and builds a ChrawExperiment object from ENCODE’s output. …