Adam Margolin
亚当·马戈林
PhD
Director, Computational Biology Program; Professor, Biomedical Engineering计算生物学项目主任；生物医学工程教授
👥Biography 个人简介
Adam Margolin leads computational cancer biology at OHSU's Knight Cancer Institute, developing machine learning approaches to predict drug sensitivity, identify synthetic lethal interactions, and translate cancer genomic data into therapeutic strategies for precision oncology.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Drug Sensitivity Prediction
Developed machine learning frameworks to predict cancer cell line and patient tumor responses to therapeutic agents from multi-omic profiles, enabling precision oncology.
ARACNE Network Inference
Co-developed the ARACNE algorithm for reverse engineering transcriptional regulatory networks from gene expression data, widely used in cancer systems biology.
Functional Cancer Genomics
Integrated large-scale CRISPR screens with genomic data to map gene essentiality landscapes, identifying context-specific vulnerabilities in cancer.
Representative Works 代表性著作
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context
BMC Bioinformatics (2006)
Foundational algorithm for cancer transcriptional network reconstruction, cited thousands of times across oncology.
Systematic identification of genomic markers of drug sensitivity in cancer cells
Nature (2012)
CCLE landmark study linking genomic features to drug sensitivity across 479 cancer cell lines.
Integrative analysis identifies four molecular and clinical subsets in uveal melanoma
Cancer Cell (2017)
TCGA study defining molecular subtypes of uveal melanoma with distinct metastatic risk profiles.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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