International Conference on Genetic Circuit Design and Bio-Computing Systems (ICGCBDS - 26)

This track focuses on the latest methodologies and technologies in the design of genetic circuits. Researchers are invited to present innovative approaches that enhance the functionality and reliability of synthetic biological systems.

This session explores the intersection of bio-computing and biotechnology, highlighting applications that leverage computational techniques for biological research. Contributions should emphasize novel bio-computing frameworks that facilitate experimental design and data analysis.

This track aims to discuss the role of predictive modeling in advancing biotechnological applications. Papers should address methodologies that improve accuracy and reliability in predicting biological outcomes.

This session invites contributions on the application of supervised and unsupervised learning techniques in synthetic biology. Emphasis will be placed on innovative algorithms that enhance genetic circuit performance and optimization.

This track focuses on the development and application of anomaly detection techniques within biological systems. Researchers are encouraged to present novel approaches that identify and mitigate unexpected behaviors in genetic circuits.

This session will explore advanced feature extraction methods tailored for complex biological datasets. Contributions should highlight techniques that improve data interpretation and model performance in biotechnology.