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; Hae Won Uh; Arief Gusnanto

doi:10.1177/1471082X17706135

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^*
, Hae Won Uh
, Arief Gusnanto

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	319-326
Number of pages	8
Journal	Statistical Modelling
Volume	17
Issue number	4-5
DOIs	https://doi.org/10.1177/1471082X17706135
Publication status	Published - 1 Aug 2017
Externally published	Yes

Keywords

derived traits
Directed networks
FDR
filtering
glycomics
protein structure

Access to Document

10.1177/1471082X17706135

Cite this

@article{8182da70220c4050ba780fce979beadb,

title = "Discussion on the paper {\textquoteleft}Statistical contributions to bioinformatics: Design, modelling, structure learning and integration{\textquoteright} by Jeffrey S. Morris and Veerabhadran Baladandayuthapani",

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",

author = "Houwing-Duistermaat, \{Jeanine J.\} and Uh, \{Hae Won\} and Arief Gusnanto",

year = "2017",

month = aug,

day = "1",

doi = "10.1177/1471082X17706135",

language = "English",

volume = "17",

pages = "319--326",

journal = "Statistical Modelling",

issn = "1471-082X",

publisher = "SAGE Publications Ltd",

number = "4-5",

}

Discussion on the paper ‘Statistical contributions to bioinformatics: Design, modelling, structure learning and integration’ by Jeffrey S. Morris and Veerabhadran Baladandayuthapani. / Houwing-Duistermaat, Jeanine J.; Uh, Hae Won; Gusnanto, Arief.
In: Statistical Modelling, Vol. 17, No. 4-5, 01.08.2017, p. 319-326.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Discussion on the paper ‘Statistical contributions to bioinformatics

T2 - Design, modelling, structure learning and integration’ by Jeffrey S. Morris and Veerabhadran Baladandayuthapani

AU - Houwing-Duistermaat, Jeanine J.

AU - Uh, Hae Won

AU - Gusnanto, Arief

PY - 2017/8/1

Y1 - 2017/8/1

N2 - 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.

AB - 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.

KW - derived traits

KW - Directed networks

KW - FDR

KW - filtering

KW - glycomics

KW - protein structure

UR - https://www.scopus.com/pages/publications/85030084307

U2 - 10.1177/1471082X17706135

DO - 10.1177/1471082X17706135

M3 - Article

AN - SCOPUS:85030084307

SN - 1471-082X

VL - 17

SP - 319

EP - 326

JO - Statistical Modelling

JF - Statistical Modelling

IS - 4-5

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this