facebookresearch / PoincareMapsLinks
The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation …
☆148Updated 3 years ago
Alternatives and similar repositories for PoincareMaps
Users that are interested in PoincareMaps are comparing it to the libraries listed below
Sorting:
- Density-preserving data visualization tools den-SNE and densMAP☆113Updated 4 years ago
- Archetypal Analysis network (AAnet)☆33Updated 4 months ago
- Deep learning for single-cell transcript counts☆89Updated 3 months ago
- The art of using t-SNE for single-cell transcriptomics☆125Updated 6 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☆63Updated last year
- ☆99Updated 8 months ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆72Updated last year
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- Latent spaces for single cells☆21Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- A collection of scripts and tools for loading, processing, and handling single cell data.☆72Updated 2 years ago
- Git Repo for simulating Boolean Models☆35Updated last year
- ☆63Updated 5 years ago
- Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)☆73Updated last year
- ☆100Updated 2 years ago
- Conditional out-of-distribution prediction☆62Updated 10 months ago
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- ☆63Updated last year
- Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"☆57Updated 6 years ago
- Multislice PHATE for tensor embeddings☆60Updated 4 years ago
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆170Updated 6 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆51Updated 6 years ago
- ☆18Updated 3 years ago
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Adversarial generation of gene expression data using Generative Adversarial Networks☆27Updated 3 years ago
- Simulating single-cell data using gene regulatory networks 📠☆74Updated last year