Joonho Ahn, Dong-Wook Lee, Mo-Yeol Kang, Jun-Pyo Myong, Mi Hae Chung, Hyoung-Ryoul Kim, Jongin Lee
The Association Between Long Working Hours of Parents and Dyslipidemia in Their Children
Frontiers in public health
snapshot nature singlecell transcriptomics presents challenge studying dynamics cell fate decisions metabolic labeling splicing provide temporal information singlecell level current methods limitations present framework overcomes limitations experimentally developed scifate2 optimized method metabolic labeling increased data quality used profile 45000 embryonic stem es cells differentiating neural tube identities computationally developed twostage framework dynamical modeling velvetvae variational autoencoder vae velocity inference outperforms tools tested velvetsde neural stochastic differential equation nsde framework simulating trajectory distributions recapitulate underlying dataset distributions capture features decision boundaries alternative fates fatespecific gene expression methods recast singlecell analyses descriptions observed data models dynamics generated providing framework investigating developmental fate decisions