A pseudotemporal causality approach to identifying miRNA–mRNA interactions during biological processes | Zendy

Andrés Cifuentes Bernal | Zendy; Vu Pham | Zendy; Xiaomei Li | Zendy; Lin Liu | Zendy; Jiuyong Li | Zendy; Thuc Duy Le | Zendy

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A pseudotemporal causality approach to identifying miRNA–mRNA interactions during biological processes

Author(s) -

Andrés Cifuentes Bernal,

Vu Pham,

Xiaomei Li,

Lin Liu,

Jiuyong Li,

Thuc Duy Le

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/btaa899

Subject(s) - microrna , causality (physics) , computational biology , computer science , biology , messenger rna , bioinformatics , genetics , gene , physics , quantum mechanics

microRNAs (miRNAs) are important gene regulators and they are involved in many biological processes, including cancer progression. Therefore, correctly identifying miRNA-mRNA interactions is a crucial task. To this end, a huge number of computational methods has been developed, but they mainly use the data at one snapshot and ignore the dynamics of a biological process. The recent development of single cell data and the booming of the exploration of cell trajectories using 'pseudotime' concept have inspired us to develop a pseudotime-based method to infer the miRNA-mRNA relationships characterizing a biological process by taking into account the temporal aspect of the process.

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