Sentence examples for modeling of regulatory from inspiring English sources

The Department of Systems Biology supports basic science research in computational biophysics and structural biology, as well as the modeling of regulatory, signaling, and metabolic networks; pattern discovery and recognition; machine learning; and functional genomics.

CISB supports basic science research in computational biophysics and structural biology, as well as the modeling of regulatory, signaling, and metabolic networks; pattern discovery and recognition; machine learning; and functional genomics.

Identifying transcription factor binding sites is a key step in the modeling of regulatory networks.

In the description and modeling of regulatory networks that drive developmental pattern formation, an over-simplified approach in terms of the genes involved and their interactions causes a misleading "circuitry".

One interesting feature of SLM can be traced back to the possibility of dramatically reducing the complexity of parameterization in regulatory circuits that until now have hampered the classical differential equation approach in time-course modeling of regulatory networks.

The annotation of specific subunit-dependent events will be important for analysis and predictive modeling of regulatory networks.

Even the United States F.D.A., which China considers a model of regulatory might, has issues that might sound familiar in Beijing.

This acceptance is, however, subject to vigorous challenge, as studies in history, law, political science and economics advance alternative models of regulatory behavior.

Its striking applications include detailed models of regulatory events, especially signal-transduction cascades and modules to provide critical and systematic insights for mechanism-based drug discovery.

Further developments are expected in the discovery and modelling of regulatory networks in general, and in the interpretation of bio-array hybridization and proteomics experiments in particular.

Mutual information in random Boolean models of regulatory networks.