The aim of the projects within the Bio Statistics (BS) theme is to develop statistical tools that will serve in creating information from metabolomics data. The products of the projects within the BS theme will be validated methods or algorithms for statistical analysis of metabolomics data. The projects go beyond data analysis based purely on the data by taking the experimental setup and the biological background of the subjects into account. Through delivery of validated and well documented algorithms, the BS projects warrant that the developed methods are reusable.
The 8 projects within the BS theme are closely related to each other and are subdivided into four themes which cover the main issues in data analysis of metabolomics data nowadays: complex- structured data, power analysis and experimental design, incorporation of a priori information, and network analysis.
The research and resulting methods and algorithms are of high relevance to the NMC. A vast amount of highly complex data has been produced already and more is expected to come. The methods developed within the Bio Statistics theme can handle the relevant datasets and will be of help to the biological experts towards understanding of the biological system concerned. The novelty of many of the methods and the focus on delivering well validated methods will certainly give the NMC a cutting edge in data analysis.