Sentence examples for based on known relationships from inspiring English sources

Exact(3)

a matrix of predictions of gene-disease relationships based on known relationships mined from the literature and machine learning predictions [29].

An algorithm was constructed to assess the self-consistency of the quantitation based on known relationships between the elutriated fractions.

The networks were generated using the respective gene identifiers and not the actual fold-changes in expression which are already depicted in Figure 2, 3, and 4. Connections among genes were based on known relationships available in the Ingenuity Pathway Analysis® knowledge based.

Similar(56)

Network analysis was performed within GeneGo using pre-specified genes as root objects and then subsequently expanded based on known biological relationships and protein/gene interactions.

Covariates were preferably included based on known theoretical relationships as described below or investigated empirically through linear, piecewise linear, sigmoid or power functions.

Cyanobacteria and some of the γ-Proteobacteria appear to possess arsC genes that are similar to those of Low GC Gram-positive Bacteria, and other isolated taxa possess arsC genes that would not be expected based on known evolutionary relationships.

The resulting haplotypes of the 10 tested sires by the daughter design were verified by LSPH software that is based on known genetic relationships between individuals (Baruch et al. 2006).

In 1988, Canal et al. 88 suggested implementation of adaptive dose adjustment, based on PK and PK-PD models, to allow revision of the dosage after measurement of drug concentration and comparison of exposure metrics based on known PK-PD relationships.

Mechanistic models are based on theoretical foundations of systems and on known relationships.

One solution is to impute untyped SNPs from typed flanking markers, based on known linkage disequilibrium (LD) relationships.

Wu et al. [ 11] built a weighted disease and drug heterogeneous network based on known disease-gene and drug-target relationships and then clustered the network to identify modules and infer putative drug repositioning candidates.

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