Background: In DNA microarray gene expression profiling studies, a fundamental task is to extract statistically significant genes that meet certain research hypothesis. Currently,...
Abstract. In this paper, we introduce a new approach for mining regulatory interactions between genes in microarray time series studies. A number of preprocessing steps transform t...
Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
For Rayleigh/Rician statistics at the decision device, the probability of correct decision in the forced choice (FC) hypothesis test is given in terms of a closed-form finite ser...
—Gene expression profiling in toxicogenomics is often used to find molecular signature of toxicants. The range of doses chosen in toxicogenomics studies does not always represe...
Vincent Guillemot, Cathy Philippe, Arthur Tenenhau...
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...