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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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

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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

BioinformaticsThe American Journal of Human GeneticsPeer-reviewedMar 1, 2016

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

Xing Hua, Paula L. Hyland, Jing Huang…·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.

DOI 10.1016/j.ajhg.2015.12.021

humanwhole-exome sequencing

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