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We believe that applications that learn from genomic data should be defined in a pipeline in which the data gathering procedure for training data is automated and the learning process is as well.
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The data gathering procedure is representative for painting specific analysis performed in museum studios.
In [15], a CS-based distributed communication architecture is exploited to minimize the latency for information retrieval under a favorable power-distortion trade-off, whereas in [16], a CS-based sensing and data gathering procedure is analyzed for the case of network routing tree topologies.
We now turn to quantifying the energy consumption and bandwidth occupancy required for realizing the Radon-like CS by means of a data gathering procedure in a WSN.
Whenever the SwissProt database is updated, the data gathering procedure should be repeated.
Any update to one of these databases should cause the data gathering procedure to be repeated.
In the remainder of this paper, we define a generic pipeline for the purpose of ApicoTP prediction (hereafter referred to as the ApicoAP pipeline) that consists of an automated training data gathering procedure and the ApicoTP classifier training routine.
Therefore, utilizing orthology search strategies in training data gathering procedures, especially for subcellular localization prediction tasks, is a common practice.
Consent was obtained for the formal data gathering procedures i.e. the interviews and the focus groups, where a digital voice recorder was used.
There is a clear need for more consistent data collection protocols and for systematic studies of the effects of variability in data gathering procedures and data collection effort on observed network structure.
Nonetheless, different data gathering procedures can be envisaged realizing the Radon-like CS using a random access criterion.
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