Machine learning reveals distinct gene expression signatures across tissue states in stony coral tissue loss disease

Machine learning reveals distinct gene expression signatures across tissue states in stony coral tissue loss disease

Stony coral tissue loss disease (SCTLD) has rapidly degraded Caribbean reefs, compounding climate-related stressors and threatening ecosystem stability. Effective intervention requires understanding the mechanisms driving disease progression and resistance. Here, we apply a supervised machine learni...

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Bibliographic Details
Main Authors: Kelsey M. Beavers, Daniela Gutierrez-Andrade, Emily W. Van Buren, Madison A. Emery, Marilyn E. Brandt, Amy Apprill, Laura D. Mydlarz
Format: Article
Language:English
Published: The Royal Society 2025-07-01
Series:Royal Society Open Science
Subjects:
stony coral tissue loss disease
coral
gene expression
machine learning
transcriptomics
symbiosis
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.241993
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https://royalsocietypublishing.org/doi/10.1098/rsos.241993

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