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The proposed schemes are effective for data-driven scoring of connections between protein pairs.
The approach is effective for data reduction, but it requires to be implemented with very large-scale cluster data deduplication systems [12].
Multi-way (N-way) methods have previously been shown to be effective for data integration in e.g. systems biology 17 17.
The gene-centric approach is effective for data aggregation from a variety of databases, especially for prokaryotes, where the genes, transcripts, and proteins are mostly synonymous.
Most of the compression approaches are effective for temporal data but require accumulating several time steps data in memory which might be prohibitive on computational clusters.
The Adaboost algorithm sequentially chooses some set of features that are effective for classifying training data.
It is well known that feedback type dynamic quantizers such as Delta/Sigma modulator are effective for encoding high resolution data into lower resolution data.
Similarly, network theory-based methods are effective for extracting structures from unstructured data and to efficiently handle the variety in big data.
Studies have shown that perceptual maps derived from online consumer-generated data are effective for depicting market structure such as demonstrating positioning of competitive brands.
Mitogenomic data are effective for revealing higher-level relationships of diverse animal groups [ 9– 18].
CC data are effective for early identification of influenza outbreaks (7, 8 ).
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