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However, achieving this goal is a challenging process, as most CT applications have not been designed for exploiting the amount of parallelism existing in these architectures.
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However, by reducing the number of paths exploited, the amount of redundant information flowing in the network decreases and less nodes are involved in routing the messages.
It is generally recognized that it is critical to pick the appropriate method to exploit the amount and type of biological data available for a given system.
If the protein under consideration had exploited the amount of available hydrophobicity in its entirety, it would have attained a perfect stability.
Exploiting the enormous amount of open source software (OSS) as a vehicle for reuse is a promising opportunity for software engineers.
Text mining is the use of automated methods for exploiting the enormous amount of information available in the biomedical literature.
In this context, gene prioritization methods have progressed quickly with the aim of discovering candidate "disease" genes by exploiting the large amount of available "omics" data covering different types of relationships between genes [2].
In the context of "network medicine", gene prioritization methods represent one of the main tools to discover candidate disease genes by exploiting the large amount of data covering different types of functional relationships between genes.
The electric field energy may be selected and delivered to the malignant cells by exploiting the larger amount of ionic connective tissue around the tumor area, creating massive apoptosis at mild temperatures (≦42 °C) [ 14– 17].
By exploiting the growing amount of information on complexes, functional modules and network motifs, one can transfer biological knowledge (e.g. functional annotations or missed interactions) to the subnetwork of another species, thereby increasing the information retrieved from noisy data.
In this section, we describe in detail how candidate interactions are ranked by our system, according to their relevance for CTD curation, by exploiting the vast amount of curated articles in the CTD database.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com