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
- The art of using t-SNE for single-cell transcriptomics☆130Updated last year
- Archetypal Analysis network (AAnet)☆40Updated last year
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆43Updated 3 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆61Updated 5 years ago
- ☆102Updated last year
- ☆63Updated 5 years ago
- DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning☆125Updated 2 years ago
- Conditional out-of-distribution prediction☆62Updated last year
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 4 years ago
- An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.☆76Updated this week
- Tools for building and manipulating graphs in Python☆46Updated last month
- Deep learning for single-cell transcript counts☆88Updated 10 months ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆31Updated 3 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆78Updated 2 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆184Updated 2 years ago
- A collection of scripts and tools for loading, processing, and handling single cell data.☆76Updated 4 months ago
- Systematically learn and evaluate manifolds from high-dimensional data☆104Updated 3 months ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- Parallel opt-SNE implementation with Python wrapper☆38Updated 3 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 3 years ago
- An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data☆52Updated 7 years ago
- BioBombe: Sequentially compressed gene expression features enhances biological signatures☆65Updated last year
- Here we address the global structure preservation by tSNE and UMAP☆47Updated 5 years ago
- Kipoi's model zoo API☆240Updated last month
- A simulator for single-cell expression data guided by gene regulatory networks☆73Updated last year
- Branching Gaussian process☆30Updated 2 years ago
- ☆16Updated 4 years ago
- Framework for integrating heterogeneous modalities of data☆17Updated 3 years ago