Bioinformatics Research and Applications 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings / [electronic resource] :
edited by Zhipeng Cai, Pavel Skums, Min Li.
- 1st ed. 2019.
- XIII, 272 p. 97 illus., 51 illus. in color. online resource.
- Lecture Notes in Bioinformatics, 11490 2366-6331 ; .
- Lecture Notes in Bioinformatics, 11490 .
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.
9783030202422
10.1007/978-3-030-20242-2 doi
Bioinformatics.
Machine theory.
Natural language processing (Computer science).
Machine learning.
Computational and Systems Biology.
Formal Languages and Automata Theory.
Natural Language Processing (NLP).
Machine Learning.
QH324.2-324.25
570.285 570.113
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.
9783030202422
10.1007/978-3-030-20242-2 doi
Bioinformatics.
Machine theory.
Natural language processing (Computer science).
Machine learning.
Computational and Systems Biology.
Formal Languages and Automata Theory.
Natural Language Processing (NLP).
Machine Learning.
QH324.2-324.25
570.285 570.113