WebLeveraging the least-action-path method, dynamo accurately predicts drivers of numerous hematopoietic transitions. Finally, in silico perturbations predict cell-fate diversions induced by gene perturbations. Dynamo, thus, represents an important step in advancing quantitative and predictive theories of cell-state transitions. WebFeb 17, 2024 · In this work, we introduced dynamical systems theory and differential geometry analyses to single-cell genomics. A dynamical system describes the time …

RNA velocity of single cells Nature

WebInclusive model of expression dynamics with metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses - dynamo-release-Mapping-Vector-Field-of-... WebFeb 1, 2024 · Single-cell (sc)RNA-seq, together with RNA velocity and metabolic labeling, reveals cellular states and transitions at unprecedented resolution. Fully exploiting these data, howev cubs championship banner

New computational tool predicts cell fates and genetic …

Web•Vector fields reveal the timing and mechanisms of human hematopoiesis •Dynamo allows cell-state transition path and in silico perturbation predictions . Summary. Single-cell … WebSingle-cell RNA-seq pseudotime estimation algorithms. Single cells, many algorithms. The goal of this page is to catalog the many algorithms that estimate pseudotimes for cells based on their gene expression levels. This problem is also referred to as single-cell trajectory inference or ordering. WebLeveraging the least-action-path method, dynamo accurately predicts drivers of numerous hematopoietic transitions. Finally, in silico perturbations predict cell-fate diversions induced by gene perturbations. Dynamo, thus, represents an important step in advancing quantitative and predictive theories of cell-state transitions. east end facebook page