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'Bottom-up' proteomics studies are typically implemented for discovery-based experiments that provide protein identification and can also provide relative and absolute protein quantitative measurements with the appropriate experimental design.
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Solutions of this type are typically implemented as Excel AddIns, using Visual Basic for Applications (VBA) to interface with chemistry engines.
As described in Section 3, on PC systems the Root of Trust for Measurement (RTM) is typically implemented as an immutable part of the BIOS.
One of such method for bit rate reduction is typically implemented by simple re-quantization[1].
The standard method for spectrum analysis is the Discrete Fourier Transform(DFT), typically implemented using a Fast Fourier Transform (FFT) algorithm.
For instance, Fodor writes, "psychological faculties at the nth level are typically implemented by psychological faculties at the n−1th level" (2003: 132).
It is typically implemented with a multi-stage architecture.
Typically implemented solution to this problem is the angle and order domain analysis.
Deep learning is a form of ML typically implemented via multi-layered neural networks.
Today, computer system security enforcement is typically implemented by incorporating policy-specific monitors into software systems.
It is typically implemented with Hello messages [30, 37].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com