Sentence examples for same set of terms from inspiring English sources

We have tested our method with a series of constants (0.5, 0.75, 1.25, 1.5; Table 5; even 1.75, data not shown) that multiply MADe as the final cutoffs for selecting sample-level differentiated genes rather than the default setting of 1.0 and our MADe selections are quite stable in the final pathway-ranking results in that they pick up the same set of terms as highly or top ranked terms.

Since miRNAs are associated to GO terms and diseases, they can be clustered according to their common terms, i.e. miRNAs which are associated to the same set of terms are grouped together.

A more complicated situation is, even if the same set of terms are adopted, which is almost impossible in the real life, different designers can still create different relationships for the same concept, corresponding to their different conceptual views for this concept.

If your fraction contains a radical in the denominator, this is considered to be an incorrect form for a final answer, and you will need to multiply the numerator and denominator by the same set of terms in order to get rid of the radical in the denominator and make that denominator rational.

If the same page was crawled n times from n different URLs, then we will find n copies of the same sets of terms, in the same order and with the same frequency.

The parameters a, b, c, d, and α support the same sets of terms in Eq. (7), and have the values of 3.2, 0.53, 3, 0.5 and 1.5, respectively.

F41, F43, and F44 represented by same set of linguistic terms, i.e. moderate, moderate, and moderate, but produce different traditional RPN number, i.e. 100, 150, and 120 and are ranked at 6th, 3rd, and 5th position, respectively.

This will only happen when all genes map to the same set of GO terms.

Consequently, in many cases proteins that are very similar based on sequence are not necessarily associated with the same set of GO terms, and this can greatly reduce the effectiveness of the mapping.

An analysis of just gene ontology (GO) terms revealed the same set of significantly enriched terms as the functional annotation clustering but limited to GO terms.

In fact, following Siegrist et al. (2007) as well as Schnalzenberger et al. (2014), it seems that early retirement decisions are motivated by the same set of factors in terms of accumulated fatigue and perceived health status.