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Early multi-omic signatures and machine learning models predict cardiomyocyte differentiation efficiency and enable robust hPSC differentiation to cardiomyocytes

geo / GSE314132

Dataset

Provider: GEO
Type: bulk
Organism: Homo sapiens (tax 9606)
Format / file: counts_table — GSE314132_TPM_Multi-omic_Timecourse_RNA.csv.gz (7.92 MB)
Matrix: 80 samples
Source page: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314132
Download URL: https://ftp.ncbi.nlm.nih.gov/geo/series/GSE314nnn/GSE314132/suppl/GSE314132_TPM_Multi-omic_Timecourse_RNA.csv.gz

DOIs

None

PubMed IDs

Accessions

Not in ASAP yet.