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.
Full text not available from this repository.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: | Agricultural and Biological Sciences > General Agricultural and Biological Sciences Biochemistry, Genetics and Molecular Biology > Biochemistry Biochemistry, Genetics and Molecular Biology > Genetics Biochemistry, Genetics and Molecular Biology > Molecular Biology Computer Science > General Computer Science |
| Divisions: | Homoeopathy > Vinayaka Mission's Homoeopathic Medical College and Hospital, Salem > Practice of Medicine |
| 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://ir.vmrfdu.edu.in/id/eprint/328 |
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