Biological Data Acquisition for System Level Modeling—An Exercise in the Art of Compromise
Biological Data Acquisition for System Level Modeling—An Exercise in the Art of Compromise
This chapter reviews biological data acquisition techniques and compares their capabilities to the data requirements of various modeling techniques and to the estimated complexity of intracellular regulatory networks. The discussions cover the estimated size and complexity of intracellular regulatory networks; classifying measurement techniques from a computational modeling perspective; low throughput, accurate measurements of gene derivative concentrations; high throughput measurements and low accuracy; detecting regulatory interactions and quantifying kinetic parameters; and population averaged versus single cell measurements.
Keywords: biological data acquisition, intracellular regulatory networks, gene derivative concentrations, regulatory interactions, kinetic parameters
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