Firstly, 0-, 1-, 2-, and 3-dimensional spatiotemporal datasets derived from a pedobarographic experiment were analyzed using a common linear model to emphasize that SPM procedures are (practically) identical irrespective of the data's physical dimensionality.
They studied two independent datasets derived from a collection of β-lactam-sensitive and -resistant S. pneumoniae samples from Thailand and the USA, two bacterial populations that have evolved independently and thus represent a very different spectrum of genotypes.
Benefits of this approach may also minimize the stochastic branching process of allele-distribution in exome datasets derived from a single library generation process and may additionally help mitigate library specific amplification biases [ 18].
Datasets derived from a literature-based meta-analysis, as well as an experimentally derived list of autoantigens, formed the startpoint of analysis aimed at elucidating any relationship between differential gene expression and protein abundance on the one hand, and the propensity of such proteins to induce humoral immune responses on the other.
The accuracy and bias of the prediction of GEBV using G ROH were compared to those using G IBS and G LA. Comparisons were performed using simulated datasets derived from a random pedigree and a real pedigree of Italian Brown Swiss bulls.
Leveraging machine learning approaches we could show that clonal frequency distributions hold indeed a potentially large amount of immunological fingerprint information, since we could classify with high accuracy (≥80 %) BCR- and TCR-repertoire datasets derived from a wide range of immunological statuses such as healthy, transplantation and lymphoid cancer.
These marker order rearrangements could be real, they could be due to error in one of the small mapping populations or they could be explained by the statistical uncertainty of orders at the cM-scale that is inherent in datasets derived from a limited number of RILs.
The effect of grinding and rolling (i.e. processing) of cereals and legumes (i.e. source) on site of starch digestion in lactating dairy cows was tested according to a 2×2 factorial design using a dataset derived from an overall dataset compiled from four experiments conducted at our laboratory that investigated effects of various processing techniques on digestion kinetics.
Our delineated dataset, derived from an objective algorithm, enables us to address indel roles in the presence of peculiar structural repeats, functional variation, protein-protein interactions and to examine 'domain contexts' of proteins tolerant to large length variations.
Results were consistent between a cross-validation analysis of the training data and a completely independent test dataset derived from an orthogonal sequencing platform.
