KrishnaswamyLab / TrajectoryNetLinks
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
☆116Updated 9 months ago
Alternatives and similar repositories for TrajectoryNet
Users that are interested in TrajectoryNet are comparing it to the libraries listed below
Sorting:
- ☆24Updated 4 months ago
- PhD Thesis☆34Updated last year
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆137Updated 7 months ago
- ☆42Updated 7 months ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆71Updated last year
- Supervised Training of Conditional Monge Maps☆18Updated last year
- ☆63Updated last year
- Multiscale earth mover's distance methods for tree and manifold structured data☆11Updated 2 months ago
- Git Repo for simulating Boolean Models☆34Updated 11 months ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆38Updated 2 years ago
- A simulator for single-cell expression data guided by gene regulatory networks☆61Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆113Updated 4 months ago
- Dynamic inference from single-cell snapshots by optimal transport☆19Updated last year
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆36Updated 6 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆100Updated 9 months ago
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆21Updated 2 months ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- A software package for analyzing snapshots of developmental processes☆146Updated 2 years ago
- Global Waddington-OT☆23Updated 2 months ago
- Dirichlet Diffusion Score Model for Biological Sequence Generation.☆51Updated 3 months ago
- ☆10Updated last year
- Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.☆30Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 3 years ago
- Transformer Based Embeddings of Wasserstein Distance☆16Updated 7 months ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"☆57Updated 6 years ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated last year
- ☆19Updated 4 months ago
- Simulating single-cell data using gene regulatory networks 📠☆73Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated last month