Deep Learning-Based Identification of Intraocular Pressure-Associated Genes Influencing Trabecular Meshwork Cell Morphology

Deep Learning-Based Identification of Intraocular Pressure-Associated Genes Influencing Trabecular Meshwork Cell Morphology

Purpose: Genome-wide association studies have recently uncovered many loci associated with variation in intraocular pressure (IOP). Artificial intelligence (AI) can be used to interrogate the effect of specific genetic knockouts on the morphology of trabecular meshwork cells (TMCs) and thus, IOP reg...

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Bibliographic Details
Main Authors: Connor J. Greatbatch, MBBS, Qinyi Lu, MD, PhD, Sandy Hung, PhD, Son N. Tran, PhD, Kristof Wing, MBBS, Helena Liang, MD, PhD, Xikun Han, PhD, Tiger Zhou, FRANZCO, PhD, Owen M. Siggs, MD, PhD, David A. Mackey, FRANZCO, MD, Guei-Sheung Liu, PhD, Anthony L. Cook, PhD, Joseph E. Powell, PhD, Jamie E. Craig, FRANZCO, DPhil, Stuart MacGregor, PhD, Alex W. Hewitt, FRANZCO, PhD
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Ophthalmology Science
Subjects:
Glaucoma
Genetics
CRISPR
Transcriptomics
Morphological profiling
Online Access:http://www.sciencedirect.com/science/article/pii/S266691452400040X

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http://www.sciencedirect.com/science/article/pii/S266691452400040X

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