Single nuclei sequencing of human HFpEF (Heart Failure with reduced ejection fraction) and Mice TAC (Transaortic constriction) data

ABSTRACT: Single-cell transcriptomics has emerged as a powerful technology for understanding cardiovascular diseases, providing valuable insights into transcriptomic changes linked to heart failure, both with and without preserved ejection fraction. However, significant gaps persist in our understanding of the molecular mechanisms underlying these different types of heart failure, and we continue to seek innovative approaches to tackle the challenges posed by the increasing scale and complexity of single-cell datasets in identifying meaningful gene signatures. The integration of machine learning, particularly deep neural networks, has shown immense promise in addressing these challenges by learning transcriptional patterns from single-cell transcriptomic data, reconstructing expression profiles, and

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER: David John 

PROVIDER: E-MTAB-14753 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress