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☆114Updated 4 years ago
- Latent spaces for single cells☆21Updated last year
- Archetypal Analysis network (AAnet)☆37Updated 7 months ago
- The art of using t-SNE for single-cell transcriptomics☆127Updated 9 months ago
- ☆63Updated 5 years ago
- Tools for building and manipulating graphs in Python☆42Updated this 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
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- ☆100Updated 10 months ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Deep learning for single-cell transcript counts☆89Updated 5 months ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆76Updated 3 weeks ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 2 years ago
- Conditional out-of-distribution prediction☆63Updated last year
- DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning☆119Updated last year
- Systematically learn and evaluate manifolds from high-dimensional data☆101Updated 2 years ago
- Parallel opt-SNE implementation with Python wrapper☆37Updated 3 years ago
- Contrastive PCA☆220Updated 10 months ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆75Updated last year
- ☆26Updated 2 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- Training and evaluating a variational autoencoder for pan-cancer gene expression data☆171Updated 6 years ago
- pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks☆86Updated 5 years ago
- Here we address the global structure preservation by tSNE and UMAP☆48Updated 5 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆52Updated 7 years ago
- ☆16Updated 3 years ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 2 years ago