scPRINT
Cell analysis framework
An open-source software framework for analyzing single-cell RNA sequencing data and predicting gene networks
single cell foundation model for Gene network inference and more
22 stars
0 watching
2 forks
Language: Jupyter Notebook
last commit: 6 days ago
Linked from 2 awesome lists
batch-correctioncell-biologycelltype-annotationdenoisingembeddingsgene-regulatory-networklarge-cell-modelslarge-language-modelsllmsopen-sourcernaseqsingle-cell-rna-seqzero-imputationzero-shot-learning
seandavi/awesome-single-cell
inoue0426/awesome-computational-biologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 sccaf/sccaf | Automated method for identifying putative cell types from single-cell RNA-seq data using clustering and machine learning | 93 |
 cellgeni/scrna.seq.course | An educational resource teaching computational analysis of single-cell RNA-seq data using R and Bioconductor tools | 123 |
 imb-computational-genomics-lab/ascend | Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |
 lingfeiwang/normalisr | A software framework for analyzing single-cell RNA sequencing data | 18 |
 scverse/scvi-tools | Probabilistic analysis tools for single-cell omics data | 1,251 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 218 |
 single-cell-genetics/cardelino | An R package for identifying clonal structures from single-cell RNA sequencing data using Bayesian methods. | 59 |
| zjufanlab/scdeepsort | A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning | 99 |
 xmc811/scillus | A package for processing and visualizing single-cell RNA-seq data in R, providing an efficient and customizable framework for analyzing complex biological datasets. | 53 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 nbisweden/workshop-scrnaseq | An educational resource offering interactive R, Python, and Seurat labs for analyzing single-cell RNA sequencing data. | 195 |
 catavallejos/basics | An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 |
 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 |
 scrna-seq/tasc | A toolkit for analyzing single-cell RNA sequencing data using computational methods and algorithms | 2 |
 cabsel/calista | Analyzes single cell expression data to infer cellular lineages and clustering structures | 9 |