Machine Learning Applications in Bioinformatics and Biomedicine: 3rd Edition
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 33
Special Issue Editor
Interests: focused on developing machine learning/deep learning tools for identifying DNA, RNA, and protein modification sites, with current interest in developing computational pipelines to generate embeddings and identify cell types from single-cell Hi-C data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning has been evolving for over 40 years. In recent years, with the rapid accumulation of data in the biological and medical fields, machine learning has seen a wide range of applications. Our aim in launching this Special Issue is to provide a platform to share the latest cutting-edge work related to applications of machine learning in the biological and medicine fields and to promote the development of related work. This Special Issue will focus on various aspects of the development and application of computational methods and techniques in biological and medical data for discovering disease markers. Topics of interest include, but are not limited to, the following:
- The identification of disease markers from the genome, transcriptome, proteome and metabolome;
- The discovery of drug targets using machine learning;
- Drug design based on machine learning;
- Using machine learning to analyze clinical data;
- Research on big data from physical examinations based on machine learning and artificial intelligence;
- The prediction of drug side effects based on machine learning;
- The discovery of epigenetic markers for diseases using artificial intelligence;
- The discovery of molecular network markers for disease diagnosis and therapy;
- Early screening for diseases based on artificial intelligence.
Dr. Hao Lv
Guest Editor
Manuscript Submission Information
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Keywords
- genome
- transcriptome
- proteome
- metabolome
- drug target
- machine learning
- prediction of drug side effects
- epigenetic marker discovery for diseases
- molecular network marker
- early screening of diseases
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