carlo.dedonno's starred repositories
scimilarity
A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.
sc-toolbox
A collection of project templates and useful functions for single-cell data analysis with Scanpy.
matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
rymscraper
Python library to extract data from rateyourmusic.com.
CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
openproblems
Formalizing and benchmarking open problems in single-cell genomics