Machine Learning Approaches for Integrating Imaging and Molecular Data in Bioinformatics

Kaur, Mandeep and Dankan Gowda, V. and Priya, S. and Prasad, K. D.V. and Venkatesan, H. (2025) Machine Learning Approaches for Integrating Imaging and Molecular Data in Bioinformatics. IEEE Transactions on Computational Biology and Bioinformatics. 147 - 177.

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Abstract

This chapter explores the integration of machine learning (ML) with imaging and molecular data to advance bioinformatics. It covers base-level ML concepts, fused methods, and advanced AI techniques including deep learning. Applications in diagnostics, prognostics, and drug discovery are discussed, along with practical implementations and case studies. Challenges and future research directions are addressed, emphasizing the potential of ML to enhance understanding of complex biological systems and support translational medicine.

Item Type: Article
Additional Information: Cited by: 2
Subjects: Biochemistry, Genetics and Molecular Biology > Molecular Biology
Divisions: Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry > Medical Microbiology
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 26 Nov 2025 09:13
Last Modified: 26 Nov 2025 09:13
URI: https://vmuir.mosys.org/id/eprint/328

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