返回
A transition tensor for quantifying spatial transcriptome attractors
DOI:10.1038/s41592-024-02267-w.png)
摘要
En 中文
Spatial transcriptomics and mRNA splicing measurements encode rich spatiotemporal information for cell states and their transitions. We present a multiscale dynamical system method for reconstructing cell-state-specific dynamics and spatial state transitions. This theory-based approach reconciles short-timescale local tensor streamlines between cells with long-timescale transition paths that connect cell attractors.
期刊
IF:
32.1
论文数:
7.3K
被引数:
12.7W
机构
引用论文
Dissecting transition cells from single-cell transcriptome data through multiscale stochastic dynamics
NATURE COMMUNICATIONS
IF15.7
Screening cell-cell communication in spatial transcriptomics via collective optimal transport通过集体最佳运输筛选空间转录组学中的细胞-细胞通讯
NATURE METHODS
IF32.1

