dynverse / dynbenchmarkLinks
Comparison of methods for trajectory inference on single-cell data 🥇
☆218Updated 2 years ago
Alternatives and similar repositories for dynbenchmark
Users that are interested in dynbenchmark are comparing it to the libraries listed below
Sorting:
- Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data☆235Updated 2 years ago
- Bench-marking classification tools for scRNA-seq data☆189Updated 3 years ago
- Tools and methods for analysis of single cell assay data in R☆258Updated 2 months ago
- R package for the joint analysis of multiple single-cell RNA-seq datasets☆217Updated last year
- Code and annotations for the Tabula Muris single-cell transcriptomic dataset.☆194Updated 2 years ago
- Panoramic stitching of single cell data☆293Updated 5 months ago
- Functions for identifying and characterizing continuous developmental trajectories in single-cell data.☆320Updated last year
- An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.☆169Updated last year
- Simple simulation of single-cell RNA sequencing data☆233Updated 2 weeks ago
- Signature Analysis and Visualization for Single-Cell RNA-seq☆174Updated last year
- A Bayesian model for compositional single-cell data analysis☆184Updated 2 years ago
- Multi-subject Single Cell Deconvolution☆276Updated last year
- A collection of 50+ trajectory inference methods within a common interface 📥📤☆131Updated 2 years ago
- A scalable SCENIC workflow for single-cell gene regulatory network analysis☆169Updated 3 years ago
- R package for integrating and analyzing multiple single-cell datasets☆420Updated 2 weeks ago
- SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data☆174Updated 9 months ago
- Automated, probabilistic assignment of cell types in scRNA-seq data☆209Updated 2 years ago
- RNA velocity estimation in Python☆174Updated 2 months ago
- LIANA: a LIgand-receptor ANalysis frAmework☆226Updated last year
- EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.☆226Updated last year
- Interpretation of cell states using reference single-cell maps☆302Updated last week
- Mapping out the coarse-grained connectivity structures of complex manifolds.☆231Updated 5 years ago
- reticulate-free single cell format conversion☆201Updated last month
- This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data☆122Updated 2 years ago
- Scissor package☆245Updated last year
- R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets☆241Updated 4 months ago
- Methods for detecting doublets in single-cell sequencing data☆222Updated 2 weeks ago
- ☆260Updated 2 months ago
- Benchmarking computational single cell ATAC-seq methods☆185Updated 5 years ago
- Conversion between scRNA-seq objects☆195Updated 2 weeks ago