Sentence examples for models on biological from inspiring English sources

Foss et al. (1993) suggested such models on biological grounds.

Dependence of these models on biological properties, viz., thermophysical and optical properties are also discussed.

There are a number of possible ways to estimate the number of independent samples in the alignment [32] and we chose to use the number of alignment columns as an estimate of s. c-AIC performed well in selecting appropriate evolutionary models on biological and simulated alignments of paired RNA sequences [33].

Computational models on biological systems have two general purposes: 1) to reproduce what is physiologically observed and understand their biological principles, and 2) to create a platform capable of predicting the cellular phenotype when metabolic alterations are induced in the system.

It enables us to test a plausibility of current knowledge and hypothetical models on biological circuits and to create new further models when inconsistencies arise in simulation, domain knowledge and experimentally observed quantitative data (Yoshida et al., 2008).

Adoption, which in Western societies is thought of as a social connection (albeit one that is modeled on biological ties between parents and children), makes this disjunction at the heart of kinship very clear.

IBM hopes to close the gap between humans and machines by creating computer chips modelled on biological brains.

Finally, we examine the performance of this model on biological data and conclude that it can indeed be used to discover meaningful associations.

Many models have been established for network modeling on biological systems, such as ordinary differential equations (ODE), Fuzzy logic system (FLS) and Petri net (PN).

GA is a computational approach modeled on biological evolution, incorporating concepts and processes such as genes, chromosomes, selection, recombination, mutation, and fitness [ 21].

Numerous, and in some cases conflicting, predictions have been developed, principally based on models of biological processes or mapping of current and historical disease statistics.