A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
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Updated
Jan 15, 2025 - Jupyter Notebook
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
Unbiased single-cell transcriptomic data cell type identification
The official implementation for "SANGO".
cRegulon is an optimization model to identify combinatorial regulon from single cell expression and chromatin accessibility data.
graph-based cell type annotation toolkit for single-cell RNA-seq, ATAC-seq, and spatial omics
cRegulon is an optimization model to identify combinatorial regulon from single cell expression and chromatin accessibility data.
Hierarchical and high-resolution cell-type identification for single-cell RNA-seq data based on ScType.
Source code for the study "Marker Gene Identification Algorithm of Precision Clustering for Single-Cell Sequencing," conducted at the Institute of Biomedical Informatics, National Yang Ming Chiao Tung University (NYCU BMI) by Zhe-Yuan Li, published in January 2025.
Add a description, image, and links to the cell-type-annotation topic page so that developers can more easily learn about it.
To associate your repository with the cell-type-annotation topic, visit your repo's landing page and select "manage topics."