dviraran / SingleRLinks
SingleR: Single-cell RNA-seq cell types Recognition (legacy version)
☆320Updated 5 years ago
Alternatives and similar repositories for SingleR
Users that are interested in SingleR are comparing it to the libraries listed below
Sorting:
- R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data☆311Updated 3 years ago
- ☆269Updated 3 months ago
- R package for integrating and analyzing multiple single-cell datasets☆425Updated this week
- Analysis Pipeline for Single Cell ATAC-seq☆322Updated 2 years ago
- ☆358Updated 4 years ago
- Single-cell Transcriptome and Regulome Analysis Pipeline☆300Updated 2 years ago
- Single sample Gene Set Enrichment analysis (ssGSEA) and PTM Enrichment Analysis (PTM-SEA)☆309Updated 3 months ago
- ☆293Updated 3 years ago
- ☆285Updated last year
- Community-provided extensions to Seurat☆355Updated last week
- Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data☆237Updated 2 years ago
- Clone of the Bioconductor repository for the SingleR package.☆199Updated last month
- A package to help convert different single-cell data formats to each other☆454Updated last year
- A toolkit for single-cell immune profiling☆362Updated last week
- ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)☆445Updated 11 months ago
- R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.☆287Updated last week
- R package for modeling single cell UMI expression data using regularized negative binomial regression☆248Updated 3 weeks ago
- Cell types enrichment analysis☆206Updated last year
- ☆437Updated last month
- Table of software for the analysis of single-cell RNA-seq data.☆338Updated this week
- R package for detecting doublets in single-cell RNA sequencing data☆523Updated 10 months ago
- CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.☆375Updated 6 months ago
- Interpretation of cell states using reference single-cell maps☆309Updated last month
- Tutorial for scRNA-seq data analysis beginners using R☆241Updated 11 months ago
- IOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology.☆274Updated last month
- High dimensional weighted gene co-expression network analysis☆465Updated last month
- A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution method…☆520Updated last month
- A guide to using a Seurat object in conjunction with RNA Velocity☆140Updated 4 years ago
- Single cell RNA sequencing analysis course☆236Updated 3 weeks ago
- TCR and BCR assembly from RNA-seq data☆338Updated 2 weeks ago