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dc.contributor.author | Erb, Ionas |
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dc.contributor.author | Notredame, Cedric |
dc.date | 2016 |
dc.identifier.citation | Erb I, Notredame C. How should we measure proportionality on relative gene expression data?. Theory in Biosciences. 2016; 135(1): 21-36. DOI: 10.1007/s12064-015-0220-8 |
dc.identifier.citation | 1431-7613 |
dc.identifier.citation | http://dx.doi.org/10.1007/s12064-015-0220-8 |
dc.identifier.uri | http://hdl.handle.net/10230/30909 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | Springer |
dc.relation | Theory in Biosciences. 2016; 135(1): 21-36 |
dc.relation | info:eu-repo/grantAgreement/ES/3PN/BFU2011-28575 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | © Springer. http://dx.doi.org/10.1007/s12064-015-0220-8. © The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
dc.rights | http://creativecommons.org/licenses/by/4.0/ |
dc.subject | Co-expression |
dc.subject | Data normalization |
dc.subject | Gene networks |
dc.subject | Spurious correlation |
dc.subject | Log-ratio analysis |
dc.subject | Compositional data |
dc.title | How should we measure proportionality on relative gene expression data? |
dc.type | info:eu-repo/semantics/article |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.description.abstract | |
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