Sentence examples for underlying biological processes and from inspiring English sources
Different data sources offer various insights into underlying biological processes, and, only if integrated, they will yield the full meaning.
It is anticipated that this approach will allow systematic analyses of inductive, homeostatic and pathologic signaling inputs, and thereby allow more precise definition of mechanisms underlying biological processes and phenotypes than is possible with existing approaches.
To determine whether individual molecular signatures are supported by underlying biological processes and linked to pathogenesis of disease, we sought validation of the inflammation signature by quantifying the hepatic population by lymphocyte subtypes and myeloid cells (neutrophils and macrophages) using immunofluorescence.
However, to lead such an analysis in the basis of traditional biological experiments and observations is almost utopian given the complexity of the underlying biological processes and the typical time scales involved.
Perhaps on a Humean view on which the self is nothing beyond its separate experiences (Hume, Treatise i,iv,vi) or on a neoHumean view which includes the underlying biological processes and their causal powers, no separate experiencing subject exists so that one may speak indifferently of experiences or experiencings and nothing more need be said.
Subsequently, proponents of the prognostic gene lists claimed that different lists do capture similar underlying biological processes and pathways.
Simple empirical description of biochemical reaction networks is insufficient for discovery of the general principles underlying biological process and prediction of dynamic response of biological networks to drug interventions or environmental perturbation [3].
This study demonstrates how GRN technology can complement traditional methods to hypothesise the regulatory relationships that underlie important biological processes.
The kinetic models explicitly incorporate prior knowledge about biochemical mechanism underlying biological processes into the model and hence can serve as the basis for studying the effects of direct intervention for improving desired properties of biological systems.
However, in most cases the variance components associated with a kernel matrix do not provide a meaningful explanation of underlying biological processes, except for P-BLUP and G-BLUP, two special cases of RKHS regression.
Once temporal dynamics in gene-by-gene test and in gene-to-gene interaction were determined, the resultant temporal gene expression sets detected by ranking individual analysis and multivariate approaches, respectively, were further explored to reveal temporal relationships underlying biological processes based on gene ontology and functional network/pathway analysis.
