Novel Insights into Post-Myocardial Infarction Cardiac Remodeling through Algorithmic Detection of Cell-Type Composition Shifts.
Brian GuralLogan KirklandAbbey HockettPeyton SandroniJiandong ZhangManuel Rosa-GarridoSamantha K SwiftDouglas ChapskiMichael A FlinnCaitlin C O'MearaThomas M VondriskaMichaela PattersonBrian C JensenChristoph Daniel RauPublished in: bioRxiv : the preprint server for biology (2024)
Our algorithm identifies and corrects for cell-type abundance in bulk RNAseq datasets opening new avenues for research on novel genes and pathways as well as an improved understanding of the role of cardiac cell types in cardiovascular disease.
Keyphrases
- left ventricular
- cardiovascular disease
- genome wide
- single cell
- heart failure
- machine learning
- type diabetes
- deep learning
- cell therapy
- rna seq
- gene expression
- mesenchymal stem cells
- transcription factor
- bone marrow
- cardiovascular risk factors
- coronary artery disease
- cardiovascular events
- wastewater treatment
- quantum dots