Identifying signaling genes in spatial single-cell expression data | Zendy

Dongshunyi Li | Zendy; Jun Ding | Zendy; Ziv BarJoseph | Zendy

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Identifying signaling genes in spatial single-cell expression data

Author(s) -

Dongshunyi Li,

Jun Ding,

Ziv BarJoseph

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa769

Subject(s) - gene , computational biology , gene expression profiling , identification (biology) , biology , cell , computer science , gene expression , bioinformatics , genetics , botany

Recent technological advances enable the profiling of spatial single-cell expression data. Such data present a unique opportunity to study cell-cell interactions and the signaling genes that mediate them. However, most current methods for the analysis of these data focus on unsupervised descriptive modeling, making it hard to identify key signaling genes and quantitatively assess their impact.

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