Houwing-Duistermaat, JJ, Uh, HW and Gusnanto, A (2017) Discussion on the paper ‘Statistical contributions to bioinformatics: Design, modelling, structure learning and integration’ by Jeffrey S. Morris and Veerabhadran Baladandayuthapani. Statistical Modelling, 17 (4-5). pp. 319-326. ISSN 1471-082X
Abstract
Bioinformatics is an important research area for statisticians. This discussion provides some additional topics to the paper, namely on statistical contributions to detect differential expressed genes, for protein structure prediction, and for the analysis of highly correlated features in Glycomics datasets.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 SAGE Publications. This is an author produced version of a paper published in Statistical Modelling. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | derived traits, Directed networks, FDR, filtering, glycomics, protein structure |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Sep 2017 12:22 |
Last Modified: | 23 Jan 2018 13:17 |
Status: | Published |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/1471082X17706135 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:121647 |