Sentence examples for relevant mark from inspiring English sources

Exact(3)

So relevant!" Mark might try his luck by shifting the discussion.

H3K36me3 also appeared as a relevant mark for splicing decisions in our model.

Affinity enrichment is appropriate for most epigenetic marks, generally relying on the use of an antibody specific for the mark of interest to enrich for DNA sequences containing the relevant mark by chromatin immunoprecipitation (ChIP).

Similar(57)

It is based on the Extensible Markup Language (XML) representation of both the teacher's document and the students' production by measuring their similarity to assign relevant marks.

If the terms associated with a protein pair have a high Wang's GO semantic similarity (see Supplementary Section IV.2), the PPI is considered to be biologically relevant (marked with a Yes in the table in Fig. 1) and is used to quantify the precision of the predictors.

"That's not what happened," said Mr. Daley, detailing the city's history of reinvention, which makes relevant Mark Twain's 1883 comment that, "It is hopeless for the occasional visitor to try to keep up with Chicago — she outgrows his prophecies faster than he can make them".

Well, at fashion week they have, anyway, which might not seem relevant except – mark my words – these things have a way of catching on.

Moreover, the parameters of this class of functions can be biologically relevant and mark the important aspects of the dynamics e.g. point of induction).

We identified mir-124-3 mir-124-3 mir-124-3ethylation as a relevant epigenetiCpGark for ccRCC thus underlislandshe need for funCGIonal studies of potentially affected signalling pathways in kidney tumethylation.

The domain expert can either discard segments of a document as irrelevant (i.e. containing no relevant information), mark segmentation errors, or create reference standard annotations manually or semi-automatically.

Correlations after exclusion of outliers in the marked right upper columns of the table; relevant correlation marked by bold numbers; r = Pearson coefficient of correlation; N = number of correlated measurements.

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