Dynamical Systems Model of RNA Velocity Improves Inference of Single-cell Trajectory, Pseudo-time and Gene Regulation-Reference-Cited by-同舟云学术

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Dynamical Systems Model of RNA Velocity Improves Inference of Single-cell Trajectory, Pseudo-time and Gene Regulation

Published:2022-08 Issue:15 Volume:434 Page:167606
ISSN:0022-2836
Container-title:Journal of Molecular Biology
language:en
Short-container-title:Journal of Molecular Biology

Author:

Liu Ruishan,Pisco Angela Oliveira,Braun Emelie,Linnarsson Sten,Zou James

Funder

Chan Zuckerberg Initiative

National Science Foundation

Publisher

Elsevier BV

Subject

Molecular Biology,Structural Biology

Reference30 articles.

1. mRNA-Seq whole-transcriptome analysis of a single cell;Tang;Nature Methods,2009

2. RNA velocity of single cells;La Manno;Nature,2018

3. Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics;Street;BMC Genom.,2018

4. TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis;Ji;Nucleic Acids Res.,2016

5. Reversed graph embedding resolves complex single-cell trajectories;Qiu;Nature Methods,2017

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1. On the Mathematics of RNA Velocity II: Algorithmic Aspects;CSIAM Transactions on Applied Mathematics;2024-06

2. Biologically informed NeuralODEs for genome-wide regulatory dynamics;Genome Biology;2024-05-21

3. WF-Velo: A New Method for RNA Velocity Analysis Based on Single-Cell Data;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

4. Spatial transition tensor of single cells;Nature Methods;2024-05-16

5. Causal gene regulatory analysis with RNA velocity reveals an interplay between slow and fast transcription factors;Cell Systems;2024-05

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