Sentence examples for understanding network from inspiring English sources
The connectivity or 'logic' of a network determines which factors will be expressed together, so understanding network structure helps us to understand how particular cell states arise, how cells move forward through differentiation and how they decide between alternative fates.
But serious consideration should be given to his big idea, that policymakers should practise "positive linking", understanding network effects and trying to use them and influence the design of networks to achieve better outcomes for society.
On the other hand, even in a network, people decide to go their own way often enough to make network effects extremely hard to predict.In this section Take the plunge Hands across the world How not to be left behind Easy to describe, hard to fix ReprintsOne challenge in understanding network effects is to spot the differences between several sorts of network.
The 8th Annual Drug Discovery Technology World Congress in August will provide opportunities to gain new knowledge and understanding, network with fellow professionals, and seek out career prospects.
The review concludes that computational modelling is an essential part of cancer research and is vital to understanding network formation and molecular behaviours that are associated with it.
Understanding network topology through embracing the global dynamical regulation of genes in an active state space rather than traditional one-gene one trait approne-gene oneatraithe rapproachdrug development process.
Understanding network-level contributions to cognition is fundamental for modelling the relationship between brain structure and function and in elucidating the mechanisms underpinning inter-individual differences in behaviour.
One approach to understanding networks relies on ontologies, such as Gene Ontology (GO), and enrichment analysis.
Our results are particularly relevant to understanding networks that need to perform computations requiring a wide spread of timescales.
The authors continue to highlight the contributions of a statistical mechanics approach to understanding networks and dynamics and conclude with a call to the use and role of quantitative models in biology.
For clear understanding, a network motif is referred to structural network motif throughout this paper, and biological network motifs and structural network motifs have many-to-many relationships.
