Author
Technion – Israel Institute of TechnologyORCID 0000-0003-3315-1748Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
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Alona Levy-Jurgenson, Xavier Tekpli, Zohar Yakhini B
The paper introduces the HTA index to assess heterogeneity in spatial data, demonstrating its application in spatial transcriptomics, imaging, and GIS.
Alona Levy-Jurgenson, Xavier Tekpli, Vessela Nedelcheva Kristensen, Zohar Yakhini B
The paper develops deep learning methods to infer spatial gene expression from pathology whole-slide images and links tumor heterogeneity to survival in breast and lung cancer.
Alona Levy-Jurgenson, Xavier Tekpli, Vessela Nedelcheva Kristensen, Zohar Yakhini B
The paper introduces a deep learning model with attention mechanisms to predict DNA methylation from gene expression and sequence data, achieving high correlation and identifying potential methylation-related genes.