Multiple Sclerosis Disease: A Computational Approach for Investigating Its Drug Interactions-Reference-Cited by-同舟云学术

Multiple Sclerosis Disease: A Computational Approach for Investigating Its Drug Interactions

Published:2020 Issue: Volume: Page:299-308
ISSN:0302-9743
Container-title:Computational Intelligence Methods for Bioinformatics and Biostatistics
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Author:

Pernice Simone,Beccuti Marco,Romano Greta,Pennisi Marzio,Maglione Alessandro,Cutrupi Santina,Pappalardo Francesco,Capra Lorenzo,Franceschinis Giuliana,De Pierro Massimiliano,Balbo Gianfranco,Cordero Francesca,Calogero Raffaele

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-63061-4_26

Reference13 articles.

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2. Beccuti, M., Capra, L., De Pierro, M., Franceschinis, G., Follia, L., Pernice, S.: A tool for the automatic derivation of symbolic ODE from symmetric net models. In: Proceedings of 27th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2019, Rennes, France, 21–25 October 2019, pp. 36–48 (2019)

3. Beccuti, M., et al.: From symmetric nets to differential equations exploiting model symmetries. Comput. J. 58(1), 23–39 (2015)

4. Bielekova, B.: Daclizumab therapy for multiple sclerosis. Cold Spring Harb. Perspect. Med. 9(5), a034470 (2019)

5. Lecture Notes in Computer Science;L Capra,2015

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