BPSC
Gene expression analyzer
A package for analyzing single-cell RNA-seq data using a beta-Poisson model.
Beta-Poisson model for single-cell RNA-seq data analyses
16 stars
6 watching
4 forks
Language: R
last commit: almost 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
pachterlab/cwgflhgcchap_2021 | Analyzing multiplexed single-cell RNA-seq data from a marine organism, providing tools for preprocessing, clustering, and analysis of gene expression across different cell types. | 2 |
zji90/sepa | A tool for analyzing single-cell RNA-seq data to identify gene expression patterns and perform GO enrichment analysis. | 4 |
catavallejos/basics | An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 |
jamesjcai/scgeatoolbox | A toolset for analyzing single-cell gene expression data from RNA sequencing experiments. | 24 |
drisso/bioc2016singlecell | Analyzing single-cell RNA-seq data using R and Bioconductor tools | 77 |
mohuangx/saver | Recover gene expression profiles from noisy single-cell RNA-seq data using regression and empirical Bayes methods. | 109 |
nasqar/seuratv3wizard | An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 |
kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 166 |
lingfeiwang/normalisr | A software framework for analyzing single-cell RNA sequencing data | 18 |
snakemake-workflows/single-cell-rna-seq | A workflow generator for single-cell RNA-seq data analysis | 97 |
scverse/scanpy | A Python toolkit for analyzing large-scale single-cell gene expression data | 1,919 |
hallvaaw/scifer | Analyze single cell mRNA expression at specific genomic loci using read alignment and filtering techniques | 0 |
scverse/scvi-tools | Probabilistic analysis tools for single-cell omics data | 1,251 |
cz-ye/decent | A software package that analyzes single-cell RNA-seq data to identify differential gene expression with capture efficiency adjustments | 14 |
imb-computational-genomics-lab/ascend | Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |