neurogenomics / reanalysis_Mathys_2019Links
A re-analysis of the [Single-cell transcriptomic analysis of Alzheimer’s disease](https://www.nature.com/articles/s41586-019-1195-2) using a standardised data processing and pseudobulk differential expression approach
☆14Updated last year
Alternatives and similar repositories for reanalysis_Mathys_2019
Users that are interested in reanalysis_Mathys_2019 are comparing it to the libraries listed below
Sorting:
- Perform differential expression analysis on multi-sample single cell datasets using linear mixed models☆25Updated 3 weeks ago
- CellR: single-cell RNA-Seq guided deconvolution of cellular composition from bulk-tissue RNA-Seq☆18Updated 4 years ago
- Human brain, >200,000 nuclei☆24Updated 4 years ago
- ☆43Updated 4 years ago
- GEfetch2R - Access Single-cell/Bulk RNA-seq Data from Public Repositories and Benchmark the Subsequent Format Conversion Tools☆39Updated 7 months ago
- FastIntegrate integrates thousands of scRNA-seq datasets and outputs batch-corrected values for downstream analysis☆23Updated last year
- Nuclear fraction QC metric to detect empty droplets and damaged cells in scRNA-seq data☆39Updated 3 years ago
- ☆29Updated 2 years ago
- An r package that works as a wrapper to homologene☆46Updated 2 years ago
- An R wrapper for too-many-cells, for clustering single cells and analyzing cell clade relationships with colorful visualizations.☆26Updated 5 years ago
- R vignettes for processing BUS format single-cell RNA-seq files☆21Updated 5 years ago
- Single-cell analysis with non-negative matrix factorization☆45Updated 3 months ago
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆44Updated 2 months ago
- Single-cell/nuclei RNA-seq analysis tools in R for a complete workflow.☆57Updated last year
- Wrapper and helper functions to use bulk RNA-seq differential expression methods with single-cell data☆21Updated last year
- Harvard FAS informatics scRNAseq workshop website☆38Updated 6 years ago
- R package for analysing single cell data☆59Updated 2 years ago
- An R package to analyze single-cell V(D)J data☆28Updated 2 years ago
- ☆16Updated 3 years ago
- A R framework for pipeline benchmarking, with application to single-cell RNAseq☆42Updated 4 years ago
- ☆55Updated 4 years ago
- R package containing the Cerebro application.☆40Updated 3 years ago
- 10x snRNA-seq study on 5 postmortem human brain regions across the reward circuitry: NAc, AMY, sACC, DLPFC, and HPC☆25Updated 3 years ago
- This repository contains HCA Benchmarking codes☆26Updated 6 years ago
- R package for Flexible dot plots☆29Updated 3 years ago
- Bulk-Sequence Single-Cell Gene Expression Deconvolution Pipeline☆46Updated 2 years ago
- R package developed for single-cell RNA-seq analysis. It was designed using the Seurat framework, and offers existing and novel single-ce…☆31Updated 2 years ago
- Clone of the Bioconductor repository for the batchelor package.☆18Updated 8 months ago
- ☆48Updated last year
- Robust, multivariate, multi-sample, multi-celltype QC for single cell RNA-seq data☆38Updated 3 years ago