isaacrob / treesne
☆63Updated 5 years ago
Alternatives and similar repositories for treesne:
Users that are interested in treesne are comparing it to the libraries listed below
- Density-preserving data visualization tools den-SNE and densMAP☆111Updated 4 years ago
- Latent spaces for single cells☆21Updated last year
- Tools for building and manipulating graphs in Python☆41Updated 2 years ago
- Python Wrapper for FIt-SNE☆45Updated 3 years ago
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆148Updated 3 years ago
- Code for the paper on t-SNE with variable degree of freedom☆24Updated 4 years ago
- Systematically learn and evaluate manifolds from high-dimensional data☆97Updated last year
- This Repository Contains the Source Code for the Python Implementation of Self Organizing Nebulous Growths☆23Updated last year
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 4 years ago
- Code for the paper on t-SNE with variable degree of freedom☆12Updated 5 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Find bimodal, unimodal, and multimodal features in your data☆27Updated 6 years ago
- Archetypal Analysis network (AAnet)☆33Updated 3 months ago
- Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces☆39Updated 3 years ago
- ☆11Updated 7 years ago
- Literature mining for T cell relations☆23Updated 2 years ago
- ☆21Updated 8 years ago
- Sequence data label generation and ingestion into deep learning models☆12Updated 3 years ago
- A library to simulate single-cell data☆2Updated 2 years ago
- Here we address the global structure preservation by tSNE and UMAP☆48Updated 5 years ago
- Python translation of the hybrid dynamicTreeCut method as created by Peter Langfelder and Bin Zhang.☆40Updated 3 years ago
- Hierarchical graph clustering☆38Updated 6 years ago
- Scalable analysis of large high-dimensional data☆66Updated 5 years ago
- Explaining dimensionality results using SHAP values☆54Updated 3 months ago
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆30Updated 2 years ago
- A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions…☆48Updated 4 years ago
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- SemI-SUpervised generative Autoencoder models for single cell data☆18Updated 4 years ago
- Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.☆70Updated 9 months ago
- Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)☆107Updated 5 months ago