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He suggests analysts use data, numbers and graphs to predict futures in the same way "other mythologies and cosmologies" were used in the past.Mr Pellizzi, Mexican-born and Manhattan-based, has long been interested in numbers and finance, and in the recent past has produced shows based on property values and the economic crisis.
And then there are the technical trading advocates who swear by the power of their charts and graphs to predict the direction of a stock.
In addition, pro-active key distribution mechanisms using neighbor graphs to predict potential TAP are proposed by Arbaugh et al. [18], Mishra et al. [19], Kassab et al. [20], and Hur et al. [21].
The log derivation of the percent survival was utilized for construction of graphs to predict the half-life of grafts and/or patients.
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We use various metabolic coupling measures between two enzymes in this graph to predict synthetic lethal genetic interactions.
The comparison of the two graphs allows to predict both the Si core diameter and the thickness of the SiO2 shell by a proper choice of the sample porosity and oxidation time.
To overcome this problem there is an increasing need for algorithms to analyze and classify graph data to predict the activity of molecules.
The graph-based approach [54] employs only basic graph-theoretic measures to predict the presence of a link and does not attempt to model the network in any way.
We use random graph generation models to predict the number of edges between the two groups of nodes.
In [17] the supervised inference method based on a bipartite graph is used to predict unknown DTIs.
Furthermore, Yamanishi et al. (2008) developed a bipartite graph learning method to predict DTI by integrating chemical and genomic data.
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