Abstract: A computing system configured to perform the steps of dividing both a saliency map and a ground-truth feature map into cells in order to obtain segmented saliency map and a segmented feature map, wherein a relevance score is assigned to each cell based on values of individual pixels within the cells in the saliency map and feature map, selecting, for both the segmented saliency map and segmented feature map, a selected number of selected cells corresponding to the most relevant cells having highest relevance scores within the segmented saliency map and the segmented feature map, respectively, and computing a level of agreement between the segmented saliency map and the segmented feature map by comparing the selected cells having highest relevance scores in the segmented saliency map to the selected cells having highest relevance scores in the segmented feature map.

Abstract: A method relates to epigenetic markers and their diagnostic and predictive value for respiratory allergy. The method can include assaying a test sample from the patient for a DNA hypermethylation or hypomethylation of at least GLI2 region, in which hypermethylation or hypomethylation of the gene region in the test sample indicates or predicts a respiratory allergy in the patient.

Abstract: A method relates to epigenetic markers and their diagnostic and predictive value for respiratory allergy. The method can include assaying a test sample from the patient for a DNA hypermethylation or hypomethylation of at least GLI2 region, in which hypermethylation or hypomethylation of the gene region in the test sample indicates or predicts a respiratory allergy in the patient.