Petri nets and GRN Models In Computational Methodologies in Gene Regulatory 
Networks.

Koch, Ina

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Petri nets and GRN Models In Computational Methodologies in Gene Regulatory Networks.

Koch, I. (2009). Petri nets and GRN Models In Computational Methodologies in Gene Regulatory Networks. In S. Das, D. Caragea, S. Welch, & W. H. Hsu (Eds.), Handbook of Research on Computational Methodologies in Gene Regulatory Networks (pp. 604-637). New York: Medical Information Science Reference.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-7CD9-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-7CDA-8

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Koch, Ina¹, Author

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1Max Planck Society, ou_persistent13

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Abstract: Description: 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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Language(s): eng - English

Dates: Date issued: 2009-11-01

Publication Status: Issued

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Identifiers: eDoc: 447330

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Title: Handbook of Research on Computational Methodologies in Gene Regulatory Networks

Source Genre: Book

Creator(s):
Das, Sanjoy, Editor
Caragea, Doina, Editor
Welch, Stephen, Editor
Hsu, William H., Editor

Affiliations:
-

Publ. Info: New York : Medical Information Science Reference

Pages: 719 Volume / Issue: - Sequence Number: - Start / End Page: 604 - 637 Identifier: ISBN: 978-1-60566-685-3