scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics

scTour: 用于细胞动态稳健推断与精确预测的深度学习架构.

DeepVelo: Single-cell transcriptomic deep velocity field learning with neural ordinary differential equations

DeepVelo: 通过神经常微分方程进行单细胞转录组深度速率场学习.

Generalizing RNA velocity to transient cell states through dynamical modeling

通过动态模型推广RNA速度到瞬时细胞状态.

Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo

使用SDEvelo对具有细胞特异性潜伏期的转录动力学进行多元随机建模.

MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data

MIOFlow 2.0: 从单细胞和空间转录组数据中推断细胞随机动态的统一框架.

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

用于轨迹推断的流形插值最优传输流.