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Bioinformatics Research and Applications [electronic resource] : 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings / edited by Zhipeng Cai, Pavel Skums, Min Li.

Contributor(s): Cai, Zhipeng [editor.] | Skums, Pavel [editor.] | Li, Min [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Bioinformatics: 11490Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XIII, 272 p. 97 illus., 51 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030202422.Subject(s): Bioinformatics | Machine theory | Natural language processing (Computer science) | Machine learning | Computational and Systems Biology | Formal Languages and Automata Theory | Natural Language Processing (NLP) | Machine LearningAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 570.285 | 570.113 Online resources: Click here to access online
Contents:
Genome analysis -- Systems biology -- Computational proteomics -- Machine and deep learning -- Data analysis and methodology.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 15th International Symposium on Bioinformatics Research and Applications, ISBRA 2019, held in Barcelona, Spain, in June 2019. The 22 full papers presented in this book were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology.
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Genome analysis -- Systems biology -- Computational proteomics -- Machine and deep learning -- Data analysis and methodology.

This book constitutes the proceedings of the 15th International Symposium on Bioinformatics Research and Applications, ISBRA 2019, held in Barcelona, Spain, in June 2019. The 22 full papers presented in this book were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: genome analysis; systems biology; computational proteomics; machine and deep learning; and data analysis and methodology.

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