Inference of a gene regulatory network by applying OMOPSO to the S-system and the half-system
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Author (Corporation)
Publication date
2023
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editor (Corporation)
Supervisor
Parent work
Proceedings of International Conference on Communication and Computational Technologies. ICCCT 2022
Special issue
DOI of the original publication
Series
Algorithms for Intelligent Systems
Series number
Volume
Issue / Number
Pages / Duration
433-444
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Jaipur
Edition
Version
Programming language
Assignee
Practice partner / Client
Keywords
Subject (DDC)
Event
4th International Conference on Communication and Computational Technologies (ICCCT 2022)
Exhibition start date
Exhibition end date
Conference start date
26.02.2022
Conference end date
27.02.2022
Date of the last check
ISBN
978-981-19-3953-2
978-981-19-3951-8
978-981-19-3950-1
978-981-19-3951-8
978-981-19-3950-1
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Nirnberger, T., Dornberger, R., & Hanne, T. (2023). Inference of a gene regulatory network by applying OMOPSO to the S-system and the half-system. In S. Kumar, S. Hiranwal, S. D. Purohit, & M. Prasad (Eds.), Proceedings of International Conference on Communication and Computational Technologies. ICCCT 2022 (pp. 433–444). Springer. https://doi.org/10.1007/978-981-19-3951-8_33