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Bioinformatics and Biomedical Engineering de Ignacio Rojas

Bioinformatics and Biomedical Engineering: Lecture Notes in Computer Science, cartea 12108

Editat de Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco Ortuño
en Limba Engleză Paperback – 8 apr 2020
This volume constitutes the proceedings of the 8th International Work-Conference on IWBBIO 2020, held in Granada, Spain, in May 2020.
The total of 73papers presented in the proceedings, was carefully reviewed and selected from 241 submissions. The papers are organized in topical sections as follows: Biomarker Identification; Biomedical Engineering; Biomedical Signal Analysis; Bio-Nanotechnology; Computational Approaches for Drug Design and Personalized Medicine; Computational Proteomics and Protein-Protein Interactions; Data Mining from UV/VIS/NIR Imaging and Spectrophotometry; E-Health Technology, Services and Applications; Evolving Towards Digital Twins in Healthcare (EDITH); High Performance in Bioinformatics; High-Throughput Genomics: Bioinformatic Tools and Medical Applications; Machine Learning in Bioinformatics; Medical Image Processing; Simulation and Visualization of Biological Systems.
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Specificații

ISBN-13: 9783030453848
ISBN-10: 3030453847
Pagini: 864
Ilustrații: XXIV, 837 p. 339 illus., 265 illus. in color.
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.28 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Biomarker Identification.- Biomedical Engineering.- Biomedical Signal Analysis.- Bio-Nanotechnology.- Computational Approaches for Drug Design and Personalized Medicine.- Computational Proteomics and Protein-Protein Interactions.- Data Mining from UV/VIS/NIR Imaging and Spectrophotometry.- E-Health Technology, Services and Applications.- Evolving Towards Digital Twins in Healthcare (EDITH).- High Performance in Bioinformatics.- High-Throughput Genomics: Bioinformatic Tools and Medical Applications.- Machine Learning in Bioinformatics.- Medical Image Processing.- Simulation and Visualization of Biological Systems.