Sentence examples for detecting the set of from inspiring English sources

Our simulation-based estimation of the probability of detecting the set of all five markers with a sample size of 125 was very close to one (>95%).

A simple existence criterion is also obtained to detect the set of points forming the manipulator's workspace.

The algorithm is able to detect the set of products (sub-fleet of products) showing highest degradation pattern similarity with the one under study and exploits the related monitoring data for a reliable prediction of the RUL.

However, no such choice makes attackers perfectly separable from the rest of the users and each one of them would detect the set of suspicious users.

It is shown that in each case the proposed approach is able to detect the set of bad mouthers giving low recommendation between 0.1 and 0.3.

Then, each pair of individuals is compared to detect the set of genetic relatives, and the matched individuals are informed.

With regards to the ability to detect the set of alleles, all of the alleles contain 16- through 22-mers that are at least 1 change away.

The 8 × 15 K Agilent microarray design chip A-MEXP-2196 A-MEXP-2196 A-MEXP-21962) was used to detect the set of genes differentially expressed between the resistant population of Vallée du Kou and a susceptible laboratory colony Ngoussou.

After giving background material in Section 2 we introduce ominous substrings in Section 3. Section 4 describes how to detect the set of all ominous substrings of a permutation efficiently while Section 5 presents the algorithm.

'Closed' technologies, such as microarray analysis, only detect the set of transcripts chosen for analysis, whereas 'open' e.g. tag-based technologies are capable of identifying all possible transcripts, including those that were previously uncharacterized.

The theorem follows by union bound on the 2 kn ln (2 kn ) steps and from the bounds of m and c. □ In this section we compare the single gene test (Algorithm 1RMG) with the driver pathway approach (using the weight function W(M)) to detect the set of driver genes using mutation data simulated using the D > P and the D=P model.