Literature DB >> 30758825

Inference of Gene Co-expression Networks from Single-Cell RNA-Sequencing Data.

Alicia T Lamere1, Jun Li2.   

Abstract

Single-cell RNA-Sequencing is a pioneering extension of bulk-based RNA-Sequencing technology. The "guilt-by-association" heuristic has led to the use of gene co-expression networks to identify genes that are believed to be associated with a common cellular function. Many methods that were developed for bulk-based RNA-Sequencing data can continue to be applied to single-cell data, and several of the most widely used methods are explored. Several methods for leveraging the novel time information contained in single-cell data when constructing gene co-expression networks, which allows for the incorporation of directed associations, are also discussed.

Keywords:  Correlation coefficient; Count data; Directed network; Gene co-expression network; Gene regulatory network; Pseudotime; Single-cell RNA-Seq

Mesh:

Substances:

Year:  2019        PMID: 30758825     DOI: 10.1007/978-1-4939-9057-3_10

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


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