Recent advances in gene sequencing technology are now shedding
light on the complex interplay between genes that elicit phenotypic
behavior characteristic of any given organism. In order to mediate
internal and external signals, the daunting task of classifying an
organism's genes into complex signaling pathways needs to be
completed. The Handbook of Research on Computational Methodologies
in Gene Regulatory Networks focuses on methods widely used in
modeling gene networks including structure discovery, learning, and
optimization. This innovative Handbook of Research presents a
complete overview of computational intelligence approaches for
learning and optimization and how they can be used in gene
regulatory networks.
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