Sentence examples for function termed as from inspiring English sources

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This paper presents a new scoring function, termed as MISCORE, for functional motif characterization and evaluation.

Motivated by the above issues, this paper introduces a new motif scoring function, termed as MISCORE (mismatch-based matrix similarity scores), to quantify similarity between a k-mer and a motif PFM using a mismatch computation on the nucleotides.

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Therefore, failure of this machinery to fold newly synthesized proteins or perturbations of the ER Ca2+ equilibrium present unique danger to the cell, which disrupt normal cellular functions termed as ER stress.

To determine whether the rapid evolution of heart enhancers is due to factors directly associated with functions or characteristics of the embryonic tissues or organs where a DNA performs functions (termed as "tissue factors" hereafter) [ 27, 28], the influence of enhancer properties and neighboring genes to the evolution of these heart enhancers were examined.

With a cutoff of FDR < 0.05, we identified 29 cellular component terms, 199 biological process terms, and 22 molecular function terms as well as 3 KEGG pathways that are enriched with survival-associated gene (Supplementary Table 3).

All other proteins, for which no function could be predicted, were termed as unknown.

We selected a number of high-level GO function terms as a GO slim vocabulary, and then mapped the GO annotations to the GO slim terms using the map2slim.pl script provided by the Gene Ontology consortium [ 38].

Their method first used a named entity recognition programme to annotate genes, gene products and biological function terms as defined in GO, and then extracted relations between the entities and biofunctions by analysing syntactic structures of the sentences.

For the percentage of molecular function terms, as shown in Figure 8, the top five MF terms are (I) GO: 0005198: structural molecule activity (11.76%); (II) GO: 0016209: antioxidant activity (11.54%); (III) GO: 0016247: channel regulator activity (8.33%); (IV) GO: 0030545: receptor regulator activity (5.00%); and (V) GO: 0004872: receptor activity (4.72%).

The focus of geriatric outcome research is hence on functional measures, such as critical exhaustion of specific body functions (often termed as 'frailty'), functional disability in daily life, and social participation on one hand and on subjective measures, such as quality of life (QoL) and self-determination (autonomy) on the other [ 9, 10].

In this paper, for a more efficient dictionary learning, we propose a novel cost function that is termed as the summation of blocked determinants measure of sparseness (SBDMS).

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