Author

Justin Shao

Vanderbilt 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 Genetics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Approach:experimental assay· 1

Frequent Co-Authors

Cody N. HeiseriD· 2 shared Eliot T. McKinleyiD· 2 shared Joseph T. RolandiD· 2 shared Ken S. LauiD· 2 shared Paige N. VegaiD· 2 shared Robert J. CoffeyiD· 2 shared Ahmad Rahman· 1 shared Ailis C. Dooner· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersSystems Biology

Cody N. HeiserORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Molecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumors

Cody N. Heiser, Alan J. Simmons, Frank L. Revetta, Eliot T. McKinley, Marisol A Ramirez-Solano, Jiawei Wang, Harsimran Kaur, Justin Shao, Gregory Daniel Ayers, Yu Wang, Sarah E. Glass, Naila Tasneem, Zhengyi Chen, Yan Qin, William Kim, , Ken S. Lau

This study maps tumor evolution and microenvironment dynamics in colorectal cancer using spatial multi-omic data, identifying key genes associated with immune exclusion and prognosis.

Cell · Dec 1, 2023Peer-reviewedSystems Biology

Machine and deep learning single-cell segmentation and quantification of multi-dimensional tissue images

Eliot T. McKinley, Justin Shao, Samuel T Ellis, Cody N. Heiser, Joseph T. Roland, Mary Catherine Macedonia, Paige N. Vega, Susie Shin, Robert J. Coffey, Ken S. Lau

The paper presents a pipeline for cell segmentation and quantification in complex tissue images using machine learning and deep learning methods.

Cytometry Part A · Jan 27, 2022Peer-reviewedBioinformatics

An Interscholastic Network to Generate LexA Enhancer Trap Lines in Drosophila

Lutz Kockel, Catherine Griffin, Yaseen Adnan Ahmed, Lauren Fidelak, Arjun Rajan, Ethan P. Gould, Myles Haigney, Benjamin Ralston, Rex J. Tercek, Lara Galligani, Sagar Rao, Lutfi Huq, Hersh K. Bhargava, Ailis C. Dooner, Emily G. Lemmerman, , Seung K. Kim

The paper describes the generation and characterization of novel LexA enhancer trap lines in Drosophila through a collaborative interscholastic network.

G3 Genes Genomes Genetics · Apr 30, 2019Peer-reviewedGenetics