Tumor Heterogeneity Research Interactive Visualization Environment
Software application for exploring and evaluating tumor heterogeneity algorithms. See our project web site at http://www.csb.pitt.edu/ith/index.html.
Repositories
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thrive
top-level information and files for THRIVE
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multi-omics-heterogeneity-analysis
MOHA algorithm published by John Graf and Maria Zavodszky, GE Global Research Center.
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simple-heterogeneity-metrics
Initial set of simple heterogeneity metrics.
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thrive-mysql
MySQL database to store analysis results and other data.
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whole-cell-segmentation
algorithm to segment single cells and their nuclei
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multicompartment-cell-quantification
quantify multiplexed biomarker intensities against segmentation mask
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thrive-app
Web-based user interface for the THRIVE application.
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