Sentence examples for based approaches to predict from inspiring English sources

Recently, Bader and coworkers developed several support vector machine based approaches to predict PDZ-peptide interactions [ 21– 23].

In contrast to computational approaches based on similarity, genomic context methods involve several non-similarity based approaches to predict protein functions and interactions [ 13- 17].

Our ontological approach is conceptually different from previous structure and machine learning based approaches to predict variant impact [Capriotti and Altman, 2011; Shi and Moult, 2011; Hashimoto et al., 2012; Izarzugaza et al., 2012; Dixit and Verkhivker, 2014].

CZEs use a strength-based failure criterion to predict the onset of damage and a fracture mechanics based approach to predict its growth.

We present a distance based approach to predict FDCs at ungauged basins by quantifying the dissimilarity between FDCs and characteristics data of basins.

This article examines the usefulness of the GP based approach to predict the relative scour depth downstream of a common type of ski-jump bucket spillway.

Recently, Kundu (2017) suggested an entropy based approach to predict the dip-phenomena over entire cross section of open channels.

Following the successful development of a metabolomics based approach to predict systemic toxicity from a single drop of blood from short-term toxicity studies [83], the potential of this technology using an in vitro approach is being explored.

In this study, we established a machine learning based approach to predict whether an intronic miRNA is high co-expressed with its host gene.

In summary, we presented a machine learning based approach to predict the co-expression patterns of the human intronic miRNAs and their host genes, which show a high accuracy and validation and could be further extended to other species.

Here, we present a machine learning based approach to predict whether an intronic microRNA show high co-expression with its host gene, by doing so, we could infer the tissues in which a microRNA is high expressed through the expression profile of its host gene.