Sentence examples for formulated regulatory from inspiring English sources

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Mathematical models are powerful tools to rigorously test if the verbally formulated regulatory interactions proposed by experimentalists can indeed explain the observed phenotypes.

Similar(57)

Provincial government agencies were told to complete general investigations into local P2P platforms by July 2016 and formulate regulatory policies based on regional conditions.

Because NTP rodent bioassay data are used by federal and state agencies to assist in formulating regulatory policies, it is crucial for the statistical methods to be powerful enough to detect dose-related trends when they exist.

Based on these correlations we have formulated potential regulatory loops that may be fundamental to the inhibition of differentiation in ES cells.

The workshop participants and signatories of the Dubrovnik declaration declare their intention to collaborate with other cities, to involve the local administrations and stakeholders in a participatory context and to formulate the regulatory framework that will promote the successful design and implementation of novel and smart urban water management solutions leading to more resilient cities.

The elementary modules can be combined to formulate complex regulatory interactions.

Similar to our approach, they formulate the regulatory network by representing it as reactions in the stoichiometric matrix.

Policymaking challenges include ongoing efforts by the FDA, which is struggling to formulate a regulatory framework to address social media-based DTCA.

In silico formulated hypotheses about regulatory genes may be tested in vivo with mouse models obtained from the international Knockout Mouse Project (KOMP).

We have effectively formulated these transcriptional regulatory and gene to protein to reaction (GPR) logical relationships, which enables us to predict the effects of transcription factor deletions as well as metabolic gene deletions on transcription regulation and metabolism, simultaneously.

A gene network model--consisting of a set of deterministic non-linear differential equations--is then used as a computational tool to extract regulatory information from the spatial time-series data: it is formulated such that its regulatory parameters determine whether each individual regulatory interaction is activating, repressing or absent altogether.

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