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http://hdl.handle.net/1942/31546| Title: | SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data | Authors: | Assefa, Alemu Takele Vandesompele, Jo THAS, Olivier |
Issue Date: | 2020 | Publisher: | OXFORD UNIV PRESS | Source: | Bioinformatics, 36 (10) , p. 3276 -3278 | Abstract: | A Summary: SPsimSeq is a semi-parametric simulation method to generate bulk and single-cell RNA-sequencing data. It is designed to simulate gene expression data with maximal retention of the characteristics of real data. It is reasonably flexible to accommodate a wide range of experimental scenarios, including different sample sizes, biological signals (differential expression) and confounding batch effects. | Notes: | Assefa, AT (corresponding author), Univ Ghent, Data Anal & Math Modeling, Ghent, Belgium. alemutakele.assefa@ugent.be |
Other: | Assefa, AT (corresponding author), Univ Ghent, Data Anal & Math Modeling, Ghent, Belgium. alemutakele.assefa@ugent.be | Document URI: | http://hdl.handle.net/1942/31546 | ISSN: | 1367-4803 | e-ISSN: | 1367-4811 | DOI: | 10.1093/bioinformatics/btaa105 | ISI #: | WOS:000537447900051 | Rights: | The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2021 |
| Appears in Collections: | Research publications |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| alemu.pdf | Published version | 280.63 kB | Adobe PDF | View/Open |
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