Ella Barkan, Ibrahim Siddiqui, et al.
Computational And Structural Biotechnology Journal
Tumor heterogeneity has emerged as a fundamental property of most human cancers, with broad implications for diagnosis and treatment. Recently, spatial omics have enabled spatial tumor profiling, however computational resources that exploit the measurements to quantify tumor heterogeneity in a spatially aware manner are largely missing. We present ATHENA (Analysis of Tumor HEterogeNeity from spAtial omics measurements), a computational framework that facilitates the visualization, processing and analysis of tumor heterogeneity from spatial omics measurements. ATHENA uses graph representations of tumors and bundles together a large collection of established and novel heterogeneity scores that quantify different aspects of the complexity of tumor ecosystems.
Ella Barkan, Ibrahim Siddiqui, et al.
Computational And Structural Biotechnology Journal
Michal Ozery-Flato, Ella Barkan, et al.
ACS Fall 2025
Laxmi Parida, Pier F. Palamara, et al.
BMC Bioinformatics
John M. Prager, Jennifer J. Liang, et al.
AMIA Joint Summits on Translational Science 2017