sanderlab / CellBox
CellBox: Interpretable Machine Learning for Perturbation Biology
☆53Updated last year
Alternatives and similar repositories for CellBox:
Users that are interested in CellBox are comparing it to the libraries listed below
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆29Updated last week
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆47Updated 3 weeks ago
- ☆58Updated last year
- ☆28Updated last month
- ☆72Updated last year
- Code for pmVAE model, seen in ICML CompBio '21☆12Updated 10 months ago
- Models and datasets for perturbational single-cell omics☆148Updated 2 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆49Updated 3 years ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆106Updated 2 weeks ago
- Diffusion model for gene regulatory network inference.☆16Updated 8 months ago
- Git Repo for simulating Boolean Models☆33Updated 8 months ago
- ☆49Updated 5 years ago
- Adversarial generation of gene expression data using Generative Adversarial Networks☆26Updated 3 years ago
- ☆23Updated last month
- A simulator for single-cell expression data guided by gene regulatory networks☆58Updated 9 months ago
- ☆99Updated last year
- Unified knowledge-driven network inference from omics data☆32Updated last week
- Biological Network Integration using Convolutions☆61Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆94Updated 6 months ago
- Knowledge-primed neural networks