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

早期多组学特征和机器学习模型可预测心肌细胞分化效率，并实现hPSC向心肌细胞的稳健分化。