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Formal Methods in Macro-Biology electronic resource First International Conference, FMMB 2014, Nouméa, New Caledonia, September 22-24, 2014. Proceedings / edited by François Fages, Carla Piazza.

Contributor(s): Fages, François [editor.] | Piazza, Carla [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer SciencePublication details: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XXVI, 183 p. 46 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319103983Subject(s): Computer Science | Medical records -- Data processing | Logic design | Bioinformatics | Computer Science | Computational Biology/Bioinformatics | Logics and Meanings of Programs | Health Informatics | Mathematical Logic and Formal LanguagesDDC classification: 570.285 LOC classification: QH324.2-324.25Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed proceedings of the First International Conference on Formal Methods in Macro-Biology, FMMB 2014, held in Nouméa, New Caledonia, in September 2014. The 7 revised full and 3 short papers presented together with 7 invited presentations were carefully reviewed and selected from 17 submissions. The scientific program consists of papers on a wide variety of topics, including ecological systems, medical applications, logical frameworks, and discrete continuous and hybrid models for the analysis of biological systems at macroscopic levels.
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This book constitutes the refereed proceedings of the First International Conference on Formal Methods in Macro-Biology, FMMB 2014, held in Nouméa, New Caledonia, in September 2014. The 7 revised full and 3 short papers presented together with 7 invited presentations were carefully reviewed and selected from 17 submissions. The scientific program consists of papers on a wide variety of topics, including ecological systems, medical applications, logical frameworks, and discrete continuous and hybrid models for the analysis of biological systems at macroscopic levels.

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