Automated and Segmentation-Optional Approaches for Extracting and Characterizing Clinically-Predictive Patterns of Immune Cell Organization from Multi-Sample Imaging Mass Cytometry Datasets
Automated and Segmentation-Optional Approaches for Extracting and Characterizing Clinically-Predictive Patterns of Immune Cell Organization from Multi-Sample Imaging Mass Cytometry Datasets
Discipline
Biology
Funder
National Institutes of Health (NIH)
Field
Natural Sciences
Organization
University of North Carolina at Chapel Hill; Working Group on NIH DMSP Guidance
Location
United States
Description
This DMP aims to collect data obtained from imaging mass cytometry in order to machine learning and computational models that to optimize the technology.
Date Last Modified
2023
Keywords
bioinformatics
automation
machine learning