BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process
Abstract High-throughput single-cell gene expression experiments can be used to uncover branching dynamics in cell populations undergoing differentiation through pseudotime methods. We develop the branching Gaussian process (BGP), a non-parametric model that is able to identify branching dynamics fo...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-05-01
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Series: | Genome Biology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13059-018-1440-2 |