… with r i j P e a r s o n the observed Pearson residual and ϕ j , s i and ρ j the estimated
dispersion, … Stijn Hawinkel is a PhD student in biostatistics in the BioStat group, Department of …

… This is mostly due to differences in the way Moran’s I values and their significance were
calculated in the present study versus Cruz et al. [28] (use of a queen contiguity-based spatial …

… if an intercept is to be included in the model. We consider NB regression models of the form
where ϕ is the overdispersion parameter and (1) in which β 0 is a given constant, which is …

… Out-of-sample prediction is the acid test of predictive models, yet an independent test dataset
is often not available for assessment of … Our method is available in the R-package oosse. …

… included in model components other than the regressors since â i is calculated after
omitting all spatial terms, ie, only β ^ is used for making predictions. The value of the Moran's I …

… is not well adapted to skewed data, and its mean-variance assumption is too rigid to account
for the overdispersion which is … , we add the p taxon scores s j1 versus s j2 as arrows on the …

… The integration of multiple omics datasets measured on the same samples is a challenging
task: data come from heterogeneous … Our algorithm is available in the R-package combi. …

… Our results show that profiling individual plants under uncontrolled field conditions is a
valid strategy for identifying genes and processes influencing crop yield in the field. …

… DNA is a molecule that stores the genetic information of a cell, and its sequence is a
unique fingerprint of an organism. Reading off the sequence of a small part of a cell’s DNA is …

… TGF-β will first bind to betaglycan and is then subsequently … , ALK5 is recruited,
betaglycan dissociates, and ALK-5 is … Systemic sclerosis is an autoimmune disease, which is …