Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms

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Analysis identified 12 key genes related to heart failure, implicating their role in altering metabolism in heart cells.
Robust Rank Aggregation revealed 102 differentially expressed genes from transcriptome data across five studies.
Utilizing bioinformatic methods like WGCNA and single-cell RNA-seq provided insight into cardiomyocyte-specific gene expression.
These findings suggest novel pathways in heart failure, emphasizing the importance of fatty acid metabolism in heart cells.

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Bioinformatic approaches uncover key genes linked to heart failure and alterations in fatty acid metabolism.

Li et al. (2025) studied this question.

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