switchde: inference of switch-like differential expression along single-cell trajectories | Zendy

Kieran R. Campbell | Zendy; Christopher Yau | Zendy

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switchde: inference of switch-like differential expression along single-cell trajectories

Author(s) -

Kieran R. Campbell,

Christopher Yau

Publication year - 2016

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/btw798

Subject(s) - inference , computer science , expression (computer science) , differential (mechanical device) , computational biology , software , algorithm , artificial intelligence , biology , programming language , physics , thermodynamics

Pseudotime analyses of single-cell RNA-seq data have become increasingly common. Typically, a latent trajectory corresponding to a biological process of interest-such as differentiation or cell cycle-is discovered. However, relatively little attention has been paid to modelling the differential expression of genes along such trajectories.

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