saezlab / decoupleRLinks
R package to infer biological activities from omics data using a collection of methods.
☆275Updated this week
Alternatives and similar repositories for decoupleR
Users that are interested in decoupleR are comparing it to the libraries listed below
Sorting:
- Multi-sample multi-group scRNA-seq analysis tools☆212Updated last month
- Easy single cell analysis platform for enrichment☆199Updated last week
- Gene set variation analysis☆230Updated this week
- Fast Wilcoxon and auROC☆198Updated last year
- Generate high quality, publication ready visualizations for single cell transcriptomics data.☆212Updated 3 months ago
- Functions for identifying and characterizing continuous developmental trajectories in single-cell data.☆315Updated last year
- Dataset distribution for Seurat☆148Updated 9 months ago
- Color blindness friendly visualization of single-cell and bulk RNA-sequencing data☆208Updated last month
- Clone of the Bioconductor repository for the SingleR package.☆198Updated last month
- Interpretation of cell states using reference single-cell maps☆300Updated 3 months ago
- Interactively analyze single cell genomic data☆184Updated 2 months ago
- R client for the OmniPath web service☆146Updated 2 weeks ago
- Shiny Interactive Web Apps for Single-Cell Data☆200Updated 7 months ago
- TRAjectory-based Differential Expression analysis for SEQuencing data☆284Updated 5 months ago
- Scaling Single Cell Analysis to Millions of Cells☆244Updated this week
- R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.☆279Updated this week
- LIANA: a LIgand-receptor ANalysis frAmework☆225Updated last year
- The package wrapping the book, for deployment via the Bioconductor build system.☆97Updated last year
- R package implementation of Milo for testing for differential abundance in KNN graphs☆403Updated 3 months ago
- scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy…☆245Updated last week
- Tools and methods for analysis of single cell assay data in R☆258Updated last month
- Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕☆184Updated 4 years ago
- A Shiny web app for mapping datasets using Seurat v4☆139Updated last year
- High dimensional weighted gene co-expression network analysis☆449Updated 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
- ☆193Updated 3 weeks ago
- Methods for detecting doublets in single-cell sequencing data☆218Updated last month
- Simple simulation of single-cell RNA sequencing data☆233Updated last week
- Multi-subject Single Cell Deconvolution☆276Updated last year
- Conversion between scRNA-seq objects☆193Updated last week