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
- The art of using t-SNE for single-cell transcriptomics☆126Updated 7 months ago
- Latent spaces for single cells☆21Updated last year
- Archetypal Analysis network (AAnet)☆35Updated 5 months ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning☆119Updated last year
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆39Updated 2 years ago
- Deep learning for single-cell transcript counts☆89Updated 4 months ago
- ☆100Updated 9 months ago
- Conditional out-of-distribution prediction☆62Updated 11 months ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 4 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆73Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆179Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆170Updated 6 years ago
- ☆63Updated 5 years ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 3 years ago
- Systematically learn and evaluate manifolds from high-dimensional data☆100Updated 2 years ago
- Contrastive PCA☆216Updated 9 months ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 5 years ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆74Updated 2 years ago
- ☆25Updated 2 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆151Updated 4 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- Tools for building and manipulating graphs in Python☆41Updated 3 weeks ago
- Multislice PHATE for tensor embeddings☆60Updated 4 years ago
- DCell browser and gene deletion simulator☆125Updated 2 years ago
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆75Updated this week