Deep Learning Analyses to Delineate the Molecular Remodeling Process after Myocardial Infarction

Deep Learning Analyses to Delineate the Molecular Remodeling Process after Myocardial Infarction

Specific proteins and processes have been identified in post-myocardial infarction (MI) pathological remodeling, but a comprehensive understanding of the complete molecular evolution is lacking. We generated microarray data from swine heart biopsies at baseline and 6, 30, and 45 days after infarctio...

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Bibliographic Details
Main Authors: Oriol Iborra-Egea, Carolina Gálvez-Montón, Cristina Prat-Vidal, Santiago Roura, Carolina Soler-Botija, Elena Revuelta-López, Gemma Ferrer-Curriu, Cristina Segú-Vergés, Araceli Mellado-Bergillos, Pol Gomez-Puchades, Paloma Gastelurrutia, Antoni Bayes-Genis
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Cells
Subjects:
myocardial infarction
deep learning
gene regulation
transcriptomics
Online Access:https://www.mdpi.com/2073-4409/10/12/3268

Internet

https://www.mdpi.com/2073-4409/10/12/3268

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