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Stephen Salerno

I am a post-doctoral research fellow in the Fred Hutch Data Science Lab. My research centers on statistical methods for multivariate data and machine learning for high dimensional survival analysis, as well as its applications to clinical quality measure development, public reporting efforts, and health policy surrounding kidney diseases and lung cancer. I am also passionate about applying my skill set to public service and am active in data for good initiatives at the University of Michigan and beyond.

Experience:
Post-Doctoral Research Fellow | Fred Hutchinson Cancer Center | Seattle, WA

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Introduction to the SRE Database

This website provides an atlas of cancer synergistic regulatory enhancer networks across different organ tissues. Designed for researchers and professionals, our platform offers an interactive, data-driven resource for exploring detailed tissue-specific data, including biosample metadata, experiment summaries, and genomic regulatory elements. Dive into organ- and tissue-specific pages, where you can explore curated data, conduct track selection, and visualize results in a genome browser to advance your research.

Organ and Tissue Selection

Please select an available organ/tissue to view the related experimental data.

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Documentation

Find resources and documentation on using the SRE Database.

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