Using UML to model EAE and its regulatory network

Mark Read; Jon Timmis; Paul S. Andrews; Vipin Kumar

doi:10.1007/978-3-642-03246-2_2

Using UML to model EAE and its regulatory network

Mark Read^*, Jon Timmis, Paul S. Andrews, Vipin Kumar

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

7 Citations (Scopus)

Abstract

Experimental Autoimmune Encephalomyelitis (EAE) is an autoimmune disease in mice which serves as a model for multiple sclerosis in humans [4,5]. The disease constitutes the direction of immunity towards myelin, an insulatory material that covers neurons. The consequential damage to the central nervous system (CNS) can lead to paralysis and death [6].

Original language	English
Title of host publication	Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings
Publisher	Springer Nature
Pages	4-6
Number of pages	3
ISBN (Print)	3642032451, 9783642032455
DOIs	https://doi.org/10.1007/978-3-642-03246-2_2
Publication status	Published - 2009
Event	8th International Conference on Artificial Immune Systems, ICARIS 2009 - York, United Kingdom of Great Britain and Northern Ireland Duration: 09 Aug 2009 → 12 Aug 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5666 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Artificial Immune Systems, ICARIS 2009
Country/Territory	United Kingdom of Great Britain and Northern Ireland
City	York
Period	09 Aug 2009 → 12 Aug 2009

Keywords

experimental autoimmune encephalomelitis
class diagram
sequence diagram
activity diagram
model experimental autoimmune encephalomyelitis

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10.1007/978-3-642-03246-2_2

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Read, M., Timmis, J., Andrews, P. S., & Kumar, V. (2009). Using UML to model EAE and its regulatory network. In Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings (pp. 4-6). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5666 LNCS). Springer Nature. https://doi.org/10.1007/978-3-642-03246-2_2

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abstract = "Experimental Autoimmune Encephalomyelitis (EAE) is an autoimmune disease in mice which serves as a model for multiple sclerosis in humans [4,5]. The disease constitutes the direction of immunity towards myelin, an insulatory material that covers neurons. The consequential damage to the central nervous system (CNS) can lead to paralysis and death [6].",

keywords = "experimental autoimmune encephalomelitis, class diagram, sequence diagram, activity diagram, model experimental autoimmune encephalomyelitis",

author = "Mark Read and Jon Timmis and Andrews, {Paul S.} and Vipin Kumar",

year = "2009",

doi = "10.1007/978-3-642-03246-2_2",

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Read, M, Timmis, J, Andrews, PS & Kumar, V 2009, Using UML to model EAE and its regulatory network. in Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5666 LNCS, Springer Nature, pp. 4-6, 8th International Conference on Artificial Immune Systems, ICARIS 2009, York, United Kingdom of Great Britain and Northern Ireland, 09 Aug 2009. https://doi.org/10.1007/978-3-642-03246-2_2

Using UML to model EAE and its regulatory network. / Read, Mark; Timmis, Jon; Andrews, Paul S. et al.
Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings. Springer Nature, 2009. p. 4-6 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5666 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

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Read M, Timmis J, Andrews PS, Kumar V. Using UML to model EAE and its regulatory network. In Artificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings. Springer Nature. 2009. p. 4-6. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-03246-2_2

Using UML to model EAE and its regulatory network

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