Computational Methods in Systems Biology: 20th International Conference, CMSB 2022, Bucharest, Romania, September 14-16, 2022, Proceedings

This book presents the refereed proceedings of the 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, which focused on modeling, simulation, analysis, design, and control of biological systems.

Format: Paperback / softback
Length: 311 pages
Publication date: 20 August 2022
Publisher: Springer International Publishing AG

The 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, was held in Bucharest, Romania, in September 2022. This conference brought together experts from around the world to discuss and explore innovative computational approaches for modeling, simulating, analyzing, designing, and controlling biological systems.

The conference featured a total of 17 papers, including 13 full papers and 4 tool papers. These papers were subjected to a rigorous review process, with 43 submissions received in total. The focus of CMSB 2022 was on various aspects of computational methods in systems biology, including:

Chemical reaction networks: These networks represent the interactions between chemical species and their reactions within biological systems. The papers discussed various modeling techniques, simulation methods, and analysis approaches for chemical reaction networks.

Boolean networks: Boolean networks are a powerful tool for modeling biological systems with binary variables. The papers explored the use of Boolean networks in modeling genetic regulatory networks, protein-protein interactions, and other biological processes.

Continuous and hybrid models: These models combine continuous mathematical equations with discrete variables to describe complex biological systems. The papers discussed the development of continuous and hybrid models for systems biology, including models of gene expression, cell dynamics, and metabolic networks.

Machine learning: Machine learning algorithms have been increasingly used in systems biology for modeling, simulation, and analysis. The papers presented novel machine learning techniques for analyzing large datasets, identifying patterns, and making predictions in biological systems.

Software: The papers discussed the development of software tools and platforms for systems biology, including tools for data visualization, simulation, and analysis.

Overall, CMSB 2022 provided a platform for researchers and practitioners to exchange ideas, share expertise, and collaborate on developing computational methods for advancing our understanding of biological systems. The conference proceedings will be valuable for future research and development in the field of systems biology.

The 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, was held in Bucharest, Romania, in September 2022.

This conference brought together experts from around the world to discuss and explore innovative computational approaches for modeling, simulating, analyzing, designing, and controlling biological systems.

The conference featured a total of 17 papers, including 13 full papers and 4 tool papers.

These papers were subjected to a rigorous review process, with 43 submissions received in total.

The focus of CMSB 2022 was on various aspects of computational methods in systems biology, including:

Chemical reaction networks:

These networks represent the interactions between chemical species and their reactions within biological systems.

The papers discussed various modeling techniques, simulation methods, and analysis approaches for chemical reaction networks.

Boolean networks:

Boolean networks are a powerful tool for modeling biological systems with binary variables.

The papers explored the use of Boolean networks in modeling genetic regulatory networks, protein-protein interactions, and other biological processes.

Continuous and hybrid models:

These models combine continuous mathematical equations with discrete variables to describe complex biological systems.

The papers discussed the development of continuous and hybrid models for systems biology, including models of gene expression, cell dynamics, and metabolic networks.

Machine learning:

Machine learning algorithms have been increasingly used in systems biology for modeling, simulating, and analyzing.

The papers presented novel machine learning techniques for analyzing large datasets, identifying patterns, and making predictions in biological systems.

Software:

The papers discussed the development of software tools and platforms for systems biology, including tools for data visualization, simulation, and analysis.

Overall, CMSB 2022 provided a platform for researchers and practitioners to exchange ideas, share expertise, and collaborate on developing computational methods for advancing our understanding of biological systems.

The conference proceedings will be valuable for future research and development in the field of systems biology.

Weight: 516g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031150333
Edition number: 1st ed. 2022