Bioinformatics Study in Human Diseases: Integration of Omics Data for Personalized Medicine (Third Edition)
A Special Issue of International Journal of Molecular Sciences (ISSN 1422-0067) belonging to the section "Molecular Informatics".
Deadline for manuscript submissions: closed (31 May 2026) | Viewed by 1222
Editor
Interests: lncRNA; miRNA; epigenetics; cancers; ageing-related diseases; RNA-targeting therapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the past decade, unprecedented breakthroughs have emerged from the application of next-generation sequencing technologies and advanced artificial intelligence methods. These advances have created remarkable opportunities for identifying key companion biomarkers and biosignatures, improving diagnosic efficiency, enhancing prognostic prediction, accelerating drug discovery, and uncovering potential mechanisms in a comprehensive, multi-omics-driven manner.
Bioinformatics is widely employed to address these challenges. A variety of bioinformatics tools and open access datasets have been developed to integrate omics data—including epigenomics, metabolomics, transcriptomics, and genomics—comprehensively. Compared withe traditional approaches, bioinformatics has considerably improved diagnostic and prognostic accuracy, expedited the discovery of novel drug targets, and deepened the functional understanding of disease mechanisms, paving the way toward advances in precision medicine.
We are pleased to invite you to contribute original research articles related to (but not limited to) bioinformatics-centric identification of biomarkers, biosignatures, drug candidates, mechanisms, or predictive algorithms for diagnosis, prognosis, and potential therapeutics in human diseases. Critical review manuscripts offering forward-looking perspectives and outlining future research directions are also especially welcome.
Please kindly note that new methods must be compared with existing state-of-the-art approaches using real biological datasets. The inclusion of experimental validation is highly encouraged.
We look forward to receiving your contributions.
Dr. Hung-Yu Lin
Guest Editor
Manuscript Submission Information
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Keywords
- cancers
- ageing-related diseases
- bioinformatics
- multi-omics
- pharmacogenetics
- deep learning
- evolutionary learning
- diagnosis
- prognosis
- companion biomarker
- drug screening
- mechanism dissection
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