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http://hdl.handle.net/1942/31546
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DC Field | Value | Language |
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dc.contributor.author | Assefa, Alemu Takele | - |
dc.contributor.author | Vandesompele, Jo | - |
dc.contributor.author | THAS, Olivier | - |
dc.date.accessioned | 2020-08-04T13:48:15Z | - |
dc.date.available | 2020-08-04T13:48:15Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2020-08-04T13:02:30Z | - |
dc.identifier.citation | BIOINFORMATICS, 36 (10) , p. 3276 -3278 | - |
dc.identifier.uri | http://hdl.handle.net/1942/31546 | - |
dc.description.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. | - |
dc.description.sponsorship | This work was supported by the UGent Special Research Fund Concerted Research Actions [GOA grant number BOF16-GOA-023]. | - |
dc.language.iso | en | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.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 | - |
dc.title | SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.authors | Birol, Inanc | - |
dc.identifier.epage | 3278 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | 3276 | - |
dc.identifier.volume | 36 | - |
local.format.pages | 3 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Assefa, AT (corresponding author), Univ Ghent, Data Anal & Math Modeling, Ghent, Belgium. | - |
dc.description.notes | alemutakele.assefa@ugent.be | - |
dc.description.other | Assefa, AT (corresponding author), Univ Ghent, Data Anal & Math Modeling, Ghent, Belgium. alemutakele.assefa@ugent.be | - |
local.publisher.place | GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1093/bioinformatics/btaa105 | - |
dc.identifier.pmid | 32065619 | - |
dc.identifier.isi | WOS:000537447900051 | - |
dc.contributor.orcid | Takele, Alemu/0000-0002-7773-0621 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Assefa, Alemu Takele; Thas, Olivier] Univ Ghent, Data Anal & Math Modeling, Ghent, Belgium. | - |
local.description.affiliation | [Vandesompele, Jo] Univ Ghent, Biomol Med, Ghent, Belgium. | - |
local.description.affiliation | [Vandesompele, Jo; Thas, Olivier] Univ Ghent, Canc Res Inst Ghent, Ghent, Belgium. | - |
local.description.affiliation | [Vandesompele, Jo] Univ Ghent, Ctr Med Genet, Ghent, Belgium. | - |
local.description.affiliation | [Thas, Olivier] Univ Wollongong, NIASRA, Wollongong, NSW, Australia. | - |
local.description.affiliation | [Thas, Olivier] Hasselt Univ, Data Sci Inst, I BioStat, Hasselt, Belgium. | - |
item.validation | ecoom 2021 | - |
item.contributor | Assefa, Alemu Takele | - |
item.contributor | Vandesompele, Jo | - |
item.contributor | THAS, Olivier | - |
item.accessRights | Open Access | - |
item.fullcitation | Assefa, Alemu Takele; Vandesompele, Jo & THAS, Olivier (2020) SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data. In: BIOINFORMATICS, 36 (10) , p. 3276 -3278. | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1367-4803 | - |
crisitem.journal.eissn | 1367-4811 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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alemu.pdf | Published version | 280.63 kB | Adobe PDF | View/Open |
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