Statistical Modelling 17 (4-5) (2017), 319–326

Discussion on the paper 'Statistical contributions to bioinformatics: Design, modelling, structure learning and integration' by Jeffrey S. Morris and Veerabhadran Baladandayuthapani

Jeanine J Houwing-Duistermaat
Department of Statistics,
University of Leeds,
Leeds LS2 9JT, United Kingdom
e-mail: j.duistermaat@leeds.ac.uk

and

Department of Medical Statistics and Bioinformatics,
Leiden University Medical Center,
Leiden, The Netherlands


Hae Won Uh
Department of Medical Statistics and Bioinformatics,
Leiden University Medical Center,
Leiden, The Netherlands


Arief Gusnanto
Department of Statistics,
University of Leeds,
Leeds LS2 9JT, United Kingdom


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.

Keywords:

derived traits; Directed networks; FDR; filtering; glycomics; protein structure.
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