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Data structuring and mapping techniques for further enhancement of the flexibility and computational efficiency of the numerical model are introduced.
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We parsed the Gene Ontology [12] data structure and mapped yeast genes to all ontology nodes and the resulting 1720 biological process nodes, each with no more than 500 genes, are selected to perform functional analysis.
These parameters are stored as node attributes in the Cytoscape data structure and, thus, visual mapping settings can easily be applied to highlight any parameter on the network.
In this section, we describe the strategies, data structures, and procedures designed to map bnodes in two RDF graphs.
Although initially described as a human readable-specific text location in the BIND Curator manual, GO terms were eventually stored in this data structure, and these could easily be mapped to PSI-MI.
In order to limit both the growth of the corresponding data structures and the effort in processing these maps, a number of methods have been proposed for merging together redundant line segments that represent the same portion of the environment.
are mapped into their software counterparts as data structures and numerical procedures.
Know something about data structures and algorithms.
Therefore, after the initial creation of data structures (map and queues) in O((K)) time and (O Kd+2K+2T)) space, every observation ({mathbf{x}}_{t}) is processed in constant O 2Kd) time and constant space.
During vectorization, structural multimaps are first replaced by structural maps ordinary map data structures that map a structural path to a corresponding single numeric value.
Methods developed here can be applied to evaluating alternative spatial data structures or mapping strategies which either increase synchronization, supporting a lumping or aggregation approach, or decrease synchronization, indicating disaggregation or splitting into scale hierarchies.
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