Each of these was classified as invasive mammary carcinoma of no special type.
Each title and abstract from the test set was classified with each one of these classifiers.
Each of these trees were classified into one of five decay classes, based on their visual appearance, mainly the presence or absence of needles, and branches of different order (Aakala 2010).
Each of these reads was classified as known miRNA, piRNA, tRNA, rRNA, snRNA, snoRNA, mRNA, genomic sequence or unknown sequences.
Each of these rules can classify the 36 samples into HCV+ or HCV- without any misclassification.
Each of these comorbidities was classified by Grade 0 to 3 (0 = no comorbidity, 1 = mild, 2 = moderate, 3 = severe comorbidity).
Each of these UCNEs was classified as intronic, UCNE within an untranslated region (UTR) or intergenic using the human RefSeq gene annotation.
This subsampling was repeated 100 times for each mouse, and the proportion of each of these 100 repetitions classified as each of the four classes is shown in Figure 6.
Each of these could be classified in one of four overarching categories, which were chosen by the authors after review of the master list: Mechanistic, Method Effect, Social/Normative, Practical (Table 2).
We then calculated the proportion of countries with guidelines addressing each of these topics and classified each country according to the number reported, with results ranging from four to zero.
