Data-driven statistical analysis concentrates on implementation of statistics algorithms [71, 72].
There may also be opportunities for the use of non-traditional funding methods such as sponsorship, basket funds and budget support linked to the implementation of statistics plans, seconding of in-country specialists to manage aid, or regional approaches using trust funds.
This section is concerned with how an implementation of Bayesian statistics for uncertainty assessment in energy models could be achieved.
The implementation of novel statistics has provided new tools to deal with gene sets of special property, e.g. Gene Set Enrichment Analysis (GSEA) for genes with an ordered structure (Subramanian et al., 2005).
The authors of this excellent review encourage the implementation of multivariate statistics and meta-analysis of plant VOCs, and notably its integration with insect behavioural data to increase the impact of modern instrumentation in understanding the ecological function of plant volatiles.
GO term enrichment analysis was carried out through the implementation of a hypergeometric statistics (p<0.05) in which the distribution of GO terms in each set of interest was compared against the one relative the to whole microarray sequence catalogue.
We tested the effectiveness of our implementation of composition-based statistics for TBLASTN in two ways.
Pre-processing and differentially expressed genes were obtained by means of an R-based package LIMMA [ 71] through the implementation of empirical Bayes statistics.
Using this implementation, detailed statistics of the morphometry of conducting airways from 12 male Sprague Dawley rats were obtained for each lobe.
Over the past few decades the medical research disciplines, especially the area of clinical trials, have widely emphasised the importance of rigorous experimental design, statistical analysis implementation and the correct use of statistics in peer-reviewed publications [ 2- 6].
Medical research disciplines, especially the area of clinical trials, have placed relatively more emphasis on the reporting of experimental design, statistical analysis implementation and the correct use of statistics in peer-reviewed publications [ 2- 6] in comparison to the current state in gene expression data analysis.
