Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
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Updated
Mar 14, 2024 - Jupyter Notebook
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
singleCellNet in Python
A small GUI application for counting cells in microscope images
Tool for quick and standardized annotation of single cell transcriptomics data
Basic scRNA-seq analysis in Seurat using GBM data
Consists of scripts and workflows used for single cell annotation
Assigning cell labels w/o ref data (Tabula Sapiens)
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