KrishnaswamyLab / PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
☆490Updated 2 months ago
Alternatives and similar repositories for PHATE:
Users that are interested in PHATE are comparing it to the libraries listed below
- MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological …☆352Updated 5 months ago
- Mapping out the coarse-grained connectivity structures of complex manifolds.☆214Updated 4 years ago
- Formalizing and benchmarking open problems in single-cell genomics☆331Updated last month
- Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction …☆444Updated 2 months ago
- An overview of algorithms for estimating pseudotime in single-cell RNA-seq data☆418Updated this week
- Spatial Single Cell Analysis in Python☆474Updated this week
- Examples of single-cell genomic analysis accelerated with RAPIDS☆334Updated 2 years ago
- Kipoi's model zoo API☆235Updated 10 months ago
- CellRank: dynamics from multi-view single-cell data☆373Updated last month
- 🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.☆217Updated 8 months ago
- Reference mapping for single-cell genomics☆358Updated 3 weeks ago
- The art of using t-SNE for single-cell transcriptomics☆122Updated 3 months ago
- Benchmarking analysis of data integration tools☆338Updated 2 months ago
- Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data☆315Updated 3 weeks ago
- A software package for analyzing snapshots of developmental processes☆145Updated 2 years ago
- Multi-Omics Factor Analysis☆324Updated 8 months ago
- RNA Velocity generalized through dynamical modeling☆433Updated 3 weeks ago
- Graph-linked unified embedding for single-cell multi-omics data integration☆405Updated last year
- Annotated data.☆612Updated this week
- The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…☆148Updated 3 years ago
- Bioinformatics data analysis and visualization toolkit☆349Updated 9 months ago
- Comparison of methods for trajectory inference on single-cell data 🥇☆205Updated last year
- Functions for identifying and characterizing continuous developmental trajectories in single-cell data.☆286Updated 11 months ago
- Subpopulation detection in high-dimensional single-cell data☆137Updated 4 years ago
- PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)☆242Updated last month
- Deep count autoencoder for denoising scRNA-seq data☆254Updated last year
- Collection of public scRNA-Seq datasets used by our group☆167Updated 3 years ago
- ☆98Updated last year
- A collection of 50+ trajectory inference methods within a common interface 📥📤☆126Updated last year
- Single cell perturbation prediction☆286Updated 3 months ago