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 …
☆150Updated 4 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☆116Updated 4 years ago
- Latent spaces for single cells☆21Updated 2 years ago
- Archetypal Analysis network (AAnet)☆39Updated 11 months ago
- The art of using t-SNE for single-cell transcriptomics☆130Updated last year
- Tools for building and manipulating graphs in Python☆46Updated last week
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆42Updated 2 years ago
- ☆102Updated last year
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Deep learning for single-cell transcript counts☆88Updated 9 months ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- ☆63Updated 5 years ago
- Multislice PHATE for tensor embeddings☆61Updated 4 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆77Updated last year
- DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning☆124Updated 2 years ago
- Conditional out-of-distribution prediction☆61Updated last year
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Systematically learn and evaluate manifolds from high-dimensional data☆104Updated 2 months ago
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆76Updated 2 weeks ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆183Updated 2 years ago
- Contrastive neighbor embeddings☆57Updated last month
- ☆28Updated 3 years ago
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆173Updated 6 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 3 years ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆76Updated 3 months ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.☆71Updated 3 months ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago