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Throughout this work, we will use a small example network of epidermal growth factor (EGF) and neuregulin-1 (NRG1; also known as heregulin) signaling that was manually derived from a large-scale network describing signaling through ErbB receptors [ 20].
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In the current study, usefulness of the approach is investigated using a small example.
The practical applicability of the DEMO-framework is demonstrated using a small example.
To show the differences between our approach of Boolean model creation and classical Boolean models we used a small example network.
For example, use a small cup, a measuring spoon, a silicone cake or chocolate mold, etc.
The author used hoeffding bounds verified that we can use a small sample of the available examples when choosing the split attribute at any given node and the output is asymptotically nearly identical to that of a conventional learner.
Here's some examples: Use a small aperture to force more depth of field.
Here are some examples: Use a small aperture to force more depth of field.
Therefore, we suggest the use of a large value for r j1 (for example, r j1 = ⌈n/2⌉ or ⌈2n/3⌉) if the images in secret group j are very sensitive; otherwise, just use a small value for r j1 (for example, r j1 = 2 or 3).
For this example, we use a small (5.4 M) modENCODE (www.modencode.org) SAM file obtained by performing RACE sequencing of the 3′-UTRs of C. elegans L1 larval RNA.
For example, someone might use a small ride-sharing vehicle to get to a tram, which might then take them to a larger train station.
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