Sentence examples for disease relation from inspiring English sources

SNAP and SIFT predicted much more effect for disease related mutations than in mutants with unknown disease relation.

However, much fewer mutants with unknown disease relation were predicted to significantly change function than the disease related mutations (Fig. 1B: strong effect for 14% of mutants unknown disease relation - dashed green line - vs. 48% of disease related mutations - dashed black line).

PhD-SNP predicted >64% of the o bserved effect mutations as disease related (Fig. 2), while only 26% of mutations with unknown disease relation were predicted to be disease associated.

The segments containing EPIYA motifs have been designated as segments A, B, C, and D; however the classification and disease relation are still unclear.

The information captured included gene name, Entrez gene ID, disease, relation and evidence sentence.

As negative control, the predictions differed greatly for the 251,414 mutants with unknown disease relation.

In addition, the mixture of chemical-induced disease and chemical-treated disease relations within one sentence often poses extra challenges for feature/pattern extraction.

However, the molecular mechanisms of the disease relations are not well discovered yet.

This suggests that the most reliable source of impact mutations is by connecting disease relations and independent experimental observations.

We used SNPdbe [ 13] as the underlying source for amino acid substitutions, functional effect annotations and disease relations.

Importantly in the present context, genetic determinants of adiponectin levels [ 38] and adiponectin-cardiovascular disease relations in the general population differ by ethnic grouping [ 17, 39].