We present Velocity Autoencoder (VeloAE), a tailored representation learning method, to learn a low-dimensional representation of RNA velocity on which ...
Representation learning of RNA velocity reveals robust cell transitions
pubmed.ncbi.nlm.nih.gov › ...
Dec 7, 2021 · We present Velocity Autoencoder (VeloAE), a tailored representation learning method, to learn a low-dimensional representation of RNA velocity.
Mar 20, 2021 · We present VeloAE, a tailored representation learning method to learn a low-dimensional representation of RNA velocity on which cell transitions can be ...
Aug 7, 2024 · A bstract RNA velocity is a promising technique to reveal transient cellular dynamics among a heterogeneous cell population and quantify ...
The representation learning branch aims to learn a low-dimensional representation of RNA velocity that mitigates the effects of sparsity and noise present in ...
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A bstract RNA velocity is a promising technique to reveal transient cellular dynamics among a heterogeneous cell population and quantify their transitions ...
Duration: 9:14
Posted: Nov 10, 2021
Posted: Nov 10, 2021
Representation learning of RNA velocity reveals robust cell transitions. ... Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learning.
May 16, 2024 · Here we present spatial transition tensor (STT), a method that uses messenger RNA splicing and spatial transcriptomes through a multiscale dynamical model.