Computing attractors of large-scale asynchronous boolean networks using minimal trap spaces-Reference-Cited by-同舟云学术

Computing attractors of large-scale asynchronous boolean networks using minimal trap spaces

Published:2022-08-07 Issue: Volume: Page:
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Container-title:Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
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Author:

Trinh Van-Giang¹,Hiraishi Kunihiko²,Benhamou Belaid¹

Affiliation:

1. AIX-Marseille Université, Marseille, France

2. Japan Advanced Institute of Science and Technology, Nomi, ishikawa, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3535508.3545520

Reference53 articles.

1. Tatsuya Akutsu . 2018. Algorithms for analysis, inference, and control of Boolean networks. World Scientific , Singapore . Tatsuya Akutsu. 2018. Algorithms for analysis, inference, and control of Boolean networks. World Scientific, Singapore.

2. Integer programming-based methods for attractor detection and control of boolean networks

3. Boolean modeling: a logic-based dynamic approach for understanding signaling and regulatory networks and for making useful predictions

4. Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers

5. AEON: Attractor Bifurcation Analysis of Parametrised Boolean Networks

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