heiniglab / scPowerLinks
Experimental design framework for scRNAseq population studies (eQTL and DE)
☆46Updated 7 months ago
Alternatives and similar repositories for scPower
Users that are interested in scPower are comparing it to the libraries listed below
Sorting:
- ☆35Updated 5 months ago
- ☆42Updated 4 years ago
- Normalize CITEseq Data☆66Updated 4 months ago
- ☆24Updated 3 months ago
- Gene regulatory network containing signed transcription factor-target gene interactions☆86Updated 3 months ago
- ☆29Updated 2 years ago
- Reproducible pipeline for "Comprehensive evaluation of cell-type quantification methods for immuno-oncology", Sturm et al. 2019, https://…☆43Updated 5 years ago
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆43Updated last week
- Collection of cell type reference datasets.☆59Updated last year
- Single-cell/nuclei RNA-seq analysis tools in R for a complete workflow.☆57Updated last year
- Single-cell Case Control Analysis☆52Updated last week
- supporting code for the multinomial single cell RNA-Seq paper☆52Updated 4 years ago
- NATMI: Network Analysis Toolkit for the Multicellular Interactions☆35Updated 4 years ago
- Covarying neighborhood analysis (CNA) is a method for finding structure in- and conducting association analysis with multi-sample single-…☆55Updated 2 months ago
- Single-cell Scalable Visualization and Analytics☆26Updated 6 years ago
- Cluster single cells and analyze cell clade relationships with colorful visualizations.☆45Updated 4 years ago
- Clone identification from single-cell data☆61Updated 2 years ago
- psupertime is pseudotime ordering for single cell RNA-seq data with sequential labels☆41Updated 3 years ago
- Nuclear fraction QC metric to detect empty droplets and damaged cells in scRNA-seq data☆39Updated 3 years ago
- Bulk-Sequence Single-Cell Gene Expression Deconvolution Pipeline☆46Updated 2 years ago
- Mosaic single cell data integration using non-overlapping features☆37Updated 2 years ago
- A R framework for pipeline benchmarking, with application to single-cell RNAseq☆41Updated 3 years ago
- ☆41Updated 2 months ago
- Gene Set + S2G strategy annotations analyzed for disease architecture☆54Updated 2 years ago
- R package for specialised analysis of single cell data☆38Updated 2 years ago
- ☆55Updated 4 years ago
- Using BCR and expression for sequence embedding☆25Updated last week
- Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).☆85Updated 11 months ago
- scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics☆54Updated last year
- SIB/Scilifelab autumn school in single cell omics 2019.☆22Updated 5 years ago