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Translational Medicine / 转化医学Single-Cell Cancer Atlas

John Marioni

PhD

🏢European Bioinformatics Institute / University of Cambridge🌐UK

Research Group Leader

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Key Contributions

👥Biography 个人简介

John Marioni has developed foundational computational methods for single-cell RNA sequencing analysis including normalization, batch correction, and trajectory inference algorithms used across the cancer single-cell research community. His methods for integrating multi-modal single-cell data have enabled joint analysis of transcriptome, epigenome, and protein measurements from the same cancer cells. His computational frameworks have been essential for large-scale cancer atlas projects requiring integration of data from multiple laboratories and platforms.

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🧪Research Fields 研究领域

Single-cell computational methods
Batch correction algorithms
Trajectory inference cancer
scRNA-seq normalization
Multi-modal data integration

🎓Key Contributions 主要贡献

Representative Works 代表性著作

📄Data Sources 数据来源

Last updated: 2026-04-01 | All information from publicly available academic sources

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