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cancer-genetics / cancer-geneticsCancer Genomics

Dana Pe'er

达娜·佩尔

PhD

🏢Memorial Sloan Kettering Cancer Center(纪念斯隆-凯特琳癌症中心)🌐USA

Chair, Computational and Systems Biology Program计算与系统生物学项目主任

65
h-index
3
Key Papers
4
Awards
3
Key Contributions

👥Biography 个人简介

Pioneering computational biologist who has transformed understanding of tumor heterogeneity through single-cell genomics. Her algorithms for trajectory analysis and cell state identification are widely used in cancer research globally.

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🧪Research Fields 研究领域

Single-Cell Genomics单细胞基因组学
Computational Cancer Biology计算癌症生物学
Tumor Heterogeneity肿瘤异质性
Machine Learning in Oncology肿瘤学机器学习

🎓Key Contributions 主要贡献

Single-Cell Analysis Algorithms

Developed Wishbone and Palantir algorithms for pseudotime trajectory analysis, enabling reconstruction of cancer cell differentiation and progression from single-cell data.

Tumor Microenvironment Dissection

Used single-cell RNA-seq to systematically dissect the tumor microenvironment across cancer types, revealing immune evasion mechanisms and therapeutic targets.

Cancer Cell State Mapping

Created comprehensive single-cell atlases of cancer cell states, identifying stem-like and therapy-resistant populations that drive recurrence.

Representative Works 代表性著作

[1]

Wishbone identifies bifurcating developmental trajectories from single-cell data

Nature Biotechnology (2016)

Introduced trajectory analysis method enabling reconstruction of developmental lineages from single-cell genomics data.

[2]

A dissection of the multicellular ecosystem for advanced human ovarian cancer

Nature Genetics (2020)

Single-cell characterization of ovarian cancer ecosystem revealing tumor microenvironment architecture and therapeutic vulnerabilities.

[3]

Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis

Nature Methods (2016)

Developed PAGODA method for identifying transcriptional heterogeneity patterns in single-cell cancer data.

🏆Awards & Recognition 奖项与荣誉

🏆Burroughs Wellcome Fund Career Award
🏆NSF CAREER Award
🏆NIH Director's Pioneer Award
🏆Elected to EMBO

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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