Releases: CellProfiling/HDCA-FetalLung-SpatialProteomics
First code release
If you are not viewing this repository on github, please check the original repository (https://github.com/CellProfiling/HDCA-FetalLung-SpatialProteomics/) for potential updates!
This repository contains custom software written for analysis of spatial proteomics data from fetal lung as presented in this preprint, referring to a study that has been conducted in the Human Developmental Cell Atlas project.
The example_pipelines folder contains example python code applied to analyze the single-cell data derived from pipex analysis of spatial proteomics images.
The ImageJ_Macro folder contains the imagej macro that was used in the preprint for a pipex-independent analysis of marker expression in artery-close immune cells.
Reusing the code? How to cite this software / data?
The software provided in this repository is licensed under the MIT license provided in the repository. Please note the individual copyright notices in the ImageJ_Macro and example_pipelines folders, individually applying to the ImageJ_Macro or example_pipelines.
The software was developed for data analysis as presented in the preprint by Sariyar et al. accessible through the following DOI link: https://doi.org/10.1101/2024.01.25.577163
When using the code in this repository, please cite this preprint.