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Computational Intelligence Methods for Bioinformatics and Biostatistics: 15th International Meeting, CIBB 2018, Caparica, Portugal, September 68, 2018, Revised Selected Papers 1st ed. 2020 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 334 pages, aukštis x plotis: 235x155 mm, weight: 551 g, 111 Illustrations, color; 23 Illustrations, black and white; XXII, 334 p. 134 illus., 111 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 11925
  • Išleidimo metai: 23-Jan-2020
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 303034584X
  • ISBN-13: 9783030345846
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 334 pages, aukštis x plotis: 235x155 mm, weight: 551 g, 111 Illustrations, color; 23 Illustrations, black and white; XXII, 334 p. 134 illus., 111 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 11925
  • Išleidimo metai: 23-Jan-2020
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 303034584X
  • ISBN-13: 9783030345846
Kitos knygos pagal šią temą:
This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics., CIBB 2018, held in Caparica, Portugal, in September 2018. The 32 revised full papers were carefully reviewed and selected from 51 submissions. The papers present current trends at the edge of computer and life sciences, the application of computational intelligence to a system and synthetic biology and the consequent impact on innovative medicine were presented. Theoretical and experimental biologists also presented novel challenges and fostered multidisciplinary collaboration aiming to blend theory and practice, where the founding theories of the techniques used for modelling and analyzing biological systems are investigated and used for practical applications and the supporting technologies.

Computational Intelligence Methods for Bioinformatics and Biostatistics.- Modeling and Simulation Methods in System Biology.- Computational Models in Health Informatics and Medicine.- Engineering Bio-Interfaces and Rudimentary Cells as a Way to Develop Synthetic Biology.