Genomic measures of inbreeding obtained on a SNP-by-SNP basis or those based on the presence/absence of runs of homozygosity represent a suitable alternative to pedigree-based measures to detect inbreeding depression, and a useful tool for mapping studies.
Differences in scaling and precision suggest the clinically based mapping function has greater power than the SF-36-based measure to detect differences in utility.
We use this measure to detect a general difference among the two major kinds of DNA and the two forms of nitrogenous bases commonly used in other studies [1], [4], [6], [8], [13] [14].
Different biological markers were measured to detect possible physiological changes.
We define a simple qualitative measure to detect subfunctionalization.
However, in the absence of a correlation between the structure of the response and the target sequence, a priming based measure is unlikely to detect sequence knowledge and, more fundamentally, the (motor) response fluency associated with trained sequences is unlikely to contribute to "old" recognition ratings [70], [73].
They follow rule based approaches to detect botnets in network.
Furthermore, it is important to note that the sample size for KOBIS was determined based on power to detect changes in QOL measures.
During the first phase, we used three statistical measures [24] to detect occurrences of recombination based on discrepancies of phylogenetic signals across the sequence set at the nucleotide level.
For footprint analysis, we measured stride length and base width to detect ataxic gait, and the overlap between forepaw and hindpaw placement to assess the accuracy of foot placement and the uniformity of step alternations.
Hence, content based features are used to detect the attacks.
