scFoundation
Cell analyzer
Develops large-scale models for single-cell transcriptomics data analysis
261 stars
7 watching
41 forks
Language: Jupyter Notebook
last commit: 4 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 yoseflab/scone | Tools for quality control and normalization of single-cell RNA-seq data | 53 |
 kstreet13/bioc2020trajectories | An R package for comparing multiple conditions in single-cell RNA-seq trajectory inference | 25 |
 biocorecrg/mop2 | A Nextflow-based workflow for processing and analyzing nanopore RNA sequencing data | 23 |
 snakemake-workflows/single-cell-rna-seq | A workflow generator for single-cell RNA-seq data analysis | 97 |
 scverse/scvi-tools | Probabilistic analysis tools for single-cell omics data | 1,251 |
 jhu99/scbean | Analyzes single-cell multi-omics data from various modalities like RNA-seq and ATAC-seq | 16 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 218 |
 cytomining/cytominer | Software for preprocessing and analyzing large cell profiling datasets | 49 |
 evoldoers/biomake | Utility for managing builds and complex workflows in bioinformatics | 103 |
 catavallejos/basics | An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 |
 fmicompbio/adv_scrnaseq_2020 | Educational materials and exercises for a course on advanced topics in single-cell transcriptomics | 17 |
 biofam/mofa | A factor analysis model that integrates multi-omics data sets to identify underlying cellular states or disease subgroups. | 235 |
| zjufanlab/scdeepsort | A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 99 |
 timoast/sinto | Tools for analyzing aligned single-cell data from sequencing experiments | 118 |
 biodiverse/spoccupancy | Provides tools for building occupancy models in ecology using Bayesian statistics and spatial modeling. | 52 |