Network Biology and Machine Learning in Bioinformatics

Dear Colleagues,

Machine learning (ML) applications in bioinformatics and network biology are two rapidly growing fields that are having a significant impact on informing and inferring biological phenomena. By combining the power of network biology with the analytical tools provided by ML, researchers are becoming more knowledgeable in the organization and function of biological systems. The applications of ML and network science in biology are numerous, including the prediction of protein–protein interactions, the identification of disease-associated genes, and the development of new therapies for diseases. As these fields continue to advance, we can expect to see many more exciting applications in the future.

This Special Issue aims to consolidate diverse usages of ML in the field of bioinformatics, with a particular focus on the implementation of network biology. We are seeking submissions on a variety of subjects, including (but not limited to) network biology, ML applications in bioinformatics, statistical inference in bioinformatics, protein–protein interaction networks, biological network visualization, network clustering, and multi-layered networks.

Dr. Harun Pirim
Dr. Mingao Yuan
Prof. Dr. Kambiz Farahmand
Guest Editors

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