Sentence examples for mining strategy is from inspiring English sources
"The key insight behind the selfish mining strategy is to force the honest miners into performing wasted computations on the stale public branch.
Our mining strategy is uniquely biologist friendly and flexible so that it can be broadly applied to the discovery of biomarkers for many other disease types.
The mining strategy is based on the combination of a public cancer microarray platform, Oncomine, and the novel biomarker filtering capabilities of the IPA pathways analysis program.
Another application of our mining strategy is the prioritization (according to t values) of top-ranked overexpressed marker genes with biological evidence implicating their significant role in cancer.
Another important advantage of our mining strategy is its broad applicability.
Whenever a dataset is subdivided in k groups (see question c), as samples were for instance taken from k sites or treated with k different protocols, another suitable data mining strategy is to apply supervised machine-learning methods to learn to approximate a relationship between metabolic profiles to the k categories (Hastie et al., 2009).
The NextBio data mining strategy was divided into two parts.
A two-step literature mining strategy was performed on up- and downregulated genes to find activated functional modules in affected HUVECs.
Furthermore, a two-step literature mining strategy was carried out to explore the functional modules from biological networks for the HUVECs under mimicked hypoxia conditions.
Experimental results of a chemical plant show that the novel approach taking advantage of fuzzy inferences and data mining strategies is potentially effective to remove redundant alarm sequences.
Principled data modeling and mining strategies are therefore required not only to make the best use of the emerging quantitative interaction data, but also to evaluate the relative merits and potential limitations of the current large-scale interaction datasets; in particular, in terms of how well these enable scoring of both positive and negative classes of genetic interactions.
