Author

Paula L. Hyland

Primary ORCID profile (0000-0003-0516-3389 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Paula L. HylandiD1 paper · United States Food and Drug Administration

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Bin Zhu· 1 shared Jianxin ShiiD· 1 shared Jing Huang· 1 shared Maria Teresa Landi· 1 shared Neil E. CaporasoiD· 1 shared Nilanjan ChatterjeeiD· 1 shared Xing Hua· 1 shared

Activity by Year

2016-2016 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bin Zhu

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1 paper

Recent·Most cited

MEGSA: A powerful and flexible framework for analyzing mutual exclusivity of tumor mutations

Xing Hua, Paula L. Hyland, Jing Huang, Bin Zhu, Neil E. Caporaso, Maria Teresa Landi, Nilanjan Chatterjee, Jianxin Shi

The paper introduces MEGSA, a framework for analyzing mutual exclusivity of tumor mutations, identifying novel gene sets and associations in cancer types like AML and breast cancer.

The American Journal of Human Genetics · Mar 1, 2016Peer-reviewedBioinformatics