Journal article
switchde: inference of switch-like differential expression along single-cell trajectories
- Abstract:
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MOTIVATION: 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.
Expand abstract
RESULTS: We present switchde, a statistical framework and accompanying R package for identifying switch-like differential expres...
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 116.2KB)
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- Publisher copy:
- 10.1093/bioinformatics/btw798
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Authors
Funding
Li Ka Shing Foundation
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John Fell Fund
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Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Bioinformatics Journal website
- Volume:
- 33
- Issue:
- 8
- Pages:
- 1241-1242
- Publication date:
- 2016-12-23
- Acceptance date:
- 2016-12-09
- DOI:
- EISSN:
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1367-4811
- ISSN:
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1460-2059
Item Description
- Language:
- English
- Pubs id:
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pubs:667541
- UUID:
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uuid:6ce77e7d-c929-4cd1-94b1-83fbe7d6956e
- Local pid:
- pubs:667541
- Deposit date:
- 2017-01-10
Terms of use
- Copyright holder:
- Campbell and Yau
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 The Authors. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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