Author

L. Court

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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Cancer Biology· 1 Microbiology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Assay:flow cytometry· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Kanwar· 1 shared A. Olanrewaju· 1 shared A. S. Mohamed· 1 shared A. Wong· 1 shared B. Marquez· 1 shared C. Cardenas· 1 shared C. D. Fuller· 1 shared C. Nguyen· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. Kanwar

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3 papers

Recent·Most cited

Flow cytometry-based biomarker assay for in vitro identification of heat tolerance conferring coral symbionts

P. Buerger, M. Buler, H. L. Yeap, O. R. Edwards, M. J. van Oppen, O. G. John, L. Court

The paper uses flow cytometry to compare microalgal traits in vitro under different temperatures, identifying SS+ strains with enhanced thermal tolerance.

bioRxiv · Nov 21, 2022Microbiology

Improving Lab Culture Through Self-Assessment: A Case Study

S. Hernandez, R. Mumme, L. Court, D. El Basha, S. Gay, B. Marquez, Y. Xiao, K. Huang, H. Baroudi, W. Cao, C. Cardenas, R. Douglas, J. Duryea, Z. Kaffey, D. Mann, , M. Gronberg

The paper describes a self-assessment process to improve lab culture through surveys and group discussions, resulting in a 12% increase in member satisfaction.

bioRxiv · Dec 8, 2021 · PreprintScientific Communication & Education

Imaging-Genomics Study Of Head-Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes And Genomic Mechanisms Via Integration Of TCGA And TCIA

Y. Zhu, A. S. Mohamed, S. Y. Lai, S. Yang, A. Kanwar, L. Wei, M. Kamal, S. Sengupta, H. Elhalawani, H. Skinner, D. S. Mackin, J. Shiao, J. Messer, A. Wong, Y. Ding, , C. D. Fuller

This study integrates radiomic and genomic data from HNSCC patients to find associations between imaging features and genomic biomarkers, achieving moderate predictive accuracy for HPV and TP53 mutation status.

JCO Clinical Cancer Informatics · Dec 1, 2019Peer-reviewedCancer Biology