Author

Georgia Saylor

Wake Forest University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

David M. HerringtoniD· 2 shared Jennifer E. Van EykiD· 2 shared Lulu CheniD· 2 shared Sarah J. ParkeriD· 2 shared Yue WangiD· 2 shared Caroline F. Zhao· 1 shared Chiung-Ting WuiD· 1 shared Chunhong Mao· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

David M. HerringtonORCID

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2 papers

Recent·Most cited

COT: an efficient Python tool for detecting marker genes among many subtypes

Yingzhou Lu, Chiung-Ting Wu, Sarah J. Parker, Lulu Chen, Georgia Saylor, Jennifer E. Van Eyk, David M. Herrington, Yue Wang

COT detects marker genes across subtypes using cosine similarity in a one-sample test, applicable to multi-omics data.

bioRxiv · Jan 10, 2021 · PreprintBioinformatics

Proteomic Architecture of Human Coronary and Aortic Atherosclerosis

David M. Herrington, Chunhong Mao, Sarah J. Parker, Zongming Fu, Guoqiang Yu, Lulu Chen, Vidya Venkatraman, Yi Fu, Yizhi Wang, Timothy D. Howard, Goo Jun, Caroline F. Zhao, Yongmei Liu, Georgia Saylor, Weston R. Spivia, , Jennifer E. Van Eyk

The paper analyzes the proteomic architecture of human coronary and aortic atherosclerosis using mass spectrometry data from 200 specimens, identifying key protein networks and regulatory features associated with early disease.

Circulation · Jun 18, 2018Peer-reviewedMolecular Biology