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A sample output is shown in Figure 2A, where the selected proteins are TP53, TP53BP2, MAGI1, and PTEN.
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When the sampled output is corrupted by observation noises, input design, sampling times, and convergent algorithms are intertwined.
Identification of systems with slowly sampled output is studied.
In addition, a novel discrete-time event detection scheme and the corresponding ETC policy based on the sampling output is proposed.
The sample outputs are shown in Figure 3 which are found to be proper when evaluated against ground truth.
Most existing methods require multiple samples to be processed in aggregate; consequently, each sample's output is influenced by other samples processed jointly.
Apart from the application where a low sampling rate output is desired due to complexity constraints, the downsampled SBR mode also serves another purpose.
constructSSN is designed to construct a SSN by calling function constructMetabolicNetwork. Its input is an abundance profile of a sample and the output is subnetworks of the reference network composed of only the enzymatic genes identified from samples in a given biological state.
The l1-minimization algorithm given in Equation 6 is run once per test sample, and the output is split into W w,ij and W b,ij based on the class labels.
If the sampling of the output is perfect, the input of the filter is equal to the output of the system.
Sample light output was analyzed using a luminometer and the resulting data were normalized relative to pRL-TK values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com