Literature DB >> 30758823

Pseudotime Reconstruction Using TSCAN.

Zhicheng Ji1, Hongkai Ji2.   

Abstract

In many single-cell RNA-seq (scRNA-seq) experiments, cells represent progressively changing states along a continuous biological process. A useful approach to analyzing data from such experiments is to computationally order cells based on their gradual transition of gene expression. The ordered cells can be viewed as samples drawn from a pseudo-temporal trajectory. Analyzing gene expression dynamics along the pseudotime provides a valuable tool for reconstructing the underlying biological process and generating biological insights. TSCAN is an R package to support in silico reconstruction of cells' pseudotime. This chapter introduces how to apply TSCAN to scRNA-seq data to perform pseudotime analysis.

Keywords:  Bioinformatics; Gene expression; Genomics; Minimum spanning tree; Pseudotime; Single-cell RNA-seq

Mesh:

Substances:

Year:  2019        PMID: 30758823     DOI: 10.1007/978-1-4939-9057-3_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

Review 1.  Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.

Authors:  Minghui Wang; Won-Min Song; Chen Ming; Qian Wang; Xianxiao Zhou; Peng Xu; Azra Krek; Yonejung Yoon; Lap Ho; Miranda E Orr; Guo-Cheng Yuan; Bin Zhang
Journal:  Mol Neurodegener       Date:  2022-03-02       Impact factor: 18.879

2.  CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks.

Authors:  David Buterez; Ioana Bica; Ifrah Tariq; Helena Andrés-Terré; Pietro Liò
Journal:  Bioinformatics       Date:  2021-12-02       Impact factor: 6.937

  2 in total

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