digitalcytometry / ecotyperLinks
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
☆203Updated last year
Alternatives and similar repositories for ecotyper
Users that are interested in ecotyper are comparing it to the libraries listed below
Sorting:
- A tool for detecting somatic variants in single cell data☆206Updated 9 months ago
- reticulate-free single cell format conversion☆158Updated 6 months ago
- A guide to using a Seurat object in conjunction with RNA Velocity☆139Updated 3 years ago
- Cell types enrichment analysis☆198Updated last year
- scDIOR: Single cell data IO softwaRe☆141Updated 3 years ago
- A scalable SCENIC workflow for single-cell gene regulatory network analysis☆159Updated 2 years ago
- Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data☆227Updated 2 years ago
- LIANA: a LIgand-receptor ANalysis frAmework☆208Updated 10 months ago
- R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data☆279Updated 2 years ago
- MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell trans…☆147Updated 5 months ago
- ☆239Updated 11 months ago
- CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data☆129Updated 4 months ago
- An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.☆162Updated last year
- single cell Flux Estimation Analysis (scFEA) Try the below web server!☆124Updated last year
- This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data☆121Updated 2 years ago
- Scissor package☆222Updated last year
- ☆119Updated last year
- Interpretation of cell states using reference single-cell maps☆278Updated last month
- Clustering scRNAseq by genotypes☆184Updated 7 months ago
- SEACells algorithm for Inference of transcriptional and epigenomic cellular states from single-cell genomics data☆162Updated 2 months ago
- A Bayesian model for compositional single-cell data analysis☆165Updated 2 years ago
- Conversion between scRNA-seq objects☆176Updated this week
- Scaling Single Cell Analysis to Millions of Cells☆217Updated this week
- Benchmarking computational single cell ATAC-seq methods☆184Updated 4 years ago
- Quantifying metabolism activity at the single-cell resolution☆136Updated 10 months ago
- R package to access DoRothEA's regulons☆148Updated last year
- CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.☆151Updated 2 months ago
- Automated, probabilistic assignment of cell types in scRNA-seq data☆202Updated 2 years ago
- Test genes for Spatial Variation☆172Updated last year
- ☆172Updated last month