scispace - formally typeset
W

Werner Dubitzky

Researcher at Ulster University

Publications -  126
Citations -  2910

Werner Dubitzky is an academic researcher from Ulster University. The author has contributed to research in topics: Grid computing & Grid. The author has an hindex of 27, co-authored 126 publications receiving 2772 citations. Previous affiliations of Werner Dubitzky include Helmholtz Zentrum München & German Cancer Research Center.

Papers
More filters
BookDOI

A Practical Approach to Microarray Data Analysis

TL;DR: A Practical Approach to Microarray Data Analysis is intended for students, teachers, researchers, and research managers who want to understand the state of the art and of the presented methodologies and the areas in which gaps in knowledge demand further research and development.
Book

Fundamentals Of Data Mining In Genomics And Proteomics

TL;DR: This book aims to present state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics by detailing their underlying principles, merits and limitations.
Journal ArticleDOI

Low vitamin D status adversely affects bone health parameters in adolescents

TL;DR: Maintaining serum 25-hydroxyvitamin D concentrations above approximately 50 nmol/L throughout the year may be a cost-effective means of improving bone health and increased emphasis on exploring strategies for improving vitamin D status in adolescents is needed.
Journal ArticleDOI

Vitamin D status and its determinants in adolescents from the Northern Ireland Young Hearts 2000 cohort

TL;DR: There is a high prevalence of vitamin D inadequacy in white-skinned adolescents in Northern Ireland, particularly during wintertime and most evident in girls, and there is a clear need for dietary recommendations for vitamin D in this age group and for creative strategies to increase overall vitamin D status in the population.
Journal ArticleDOI

Computational methodologies for modelling, analysis and simulation of signalling networks

TL;DR: A conceptual framework is proposed, and the role of signalling networks in three major areas: signal transduction, cellular rhythms and cell-to-cell communication is discussed, and a variety of modelling techniques and associated tools are reported on, which provide a range of descriptive and analytical powers.