zijianni / scCB2
R package for distinguishing cells from background barcodes in droplet-based single-cell RNA-seq data
☆10Updated last year
Related projects ⓘ
Alternatives and complementary repositories for scCB2
- Collection of analysis methods for small count data generated by rafalab members (the methods, not the data).☆19Updated 4 months ago
- Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments☆9Updated 3 years ago
- Gene Expression Decomposition and Integration☆15Updated 3 months ago
- Efficiently compute robust markers across single-cell datasets☆11Updated 3 years ago
- An R package for multi-dimensional pathway enrichment analysis☆16Updated last week
- Calculation of distance metrics for matrices☆25Updated 5 years ago
- R package for gene selection using k-NN graphs.☆13Updated last year
- Analysis of Single Cell Expression, Normalization and Differential expression☆12Updated 4 years ago
- Flexible, probablistic metrics for quality control of scRNA-seq data☆18Updated last year
- ☆14Updated 5 years ago
- Human brain, >200,000 nuclei☆24Updated 3 years ago
- ☆12Updated 3 years ago
- kallisto index tag extractor☆20Updated 5 years ago
- Variance stabilizing transformation for Gamma Poisson distributed data☆21Updated last year
- R package for Flexible dot plots☆26Updated 2 years ago
- Isoform-level expression patterns in single-cell RNA-sequencing data☆11Updated last year
- repo to explore spatial data in R/Bioconductor and Python☆12Updated 4 years ago
- R vignettes for processing BUS format single-cell RNA-seq files☆20Updated 4 years ago
- CellAnn☆12Updated last year
- Method for identifying trait-relevant gene annotations from GWAS summary statistics.☆17Updated 2 years ago
- ☆16Updated 2 years ago
- Genomic trajectories (pseudotimes) in the presence of heterogenous environmental and genetic backgrounds☆10Updated 5 years ago
- Snakefile-based process to turn 1.4 million ocular cells into a unified meta-atlas☆24Updated 10 months ago
- Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data☆20Updated 7 months ago
- A gene expression signature scoring Python package.☆10Updated last year
- Normalization for single cell RNA-seq data☆9Updated 2 years ago
- The `multiGSEA` R package was designed to run a robust GSEA-based pathway enrichment for multiple omics layers.☆17Updated this week
- Single-cell RNA Processing Software☆11Updated last month
- ☆11Updated 6 months ago
- MOJITOO: a fast and universal method for integration of multimodal single cell data☆10Updated last month