Bioinformatics Analysis of miRNA for Human Health and Disease
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular Genetics and Genetic Diseases".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 117
Special Issue Editor
Interests: bioinformatics; computational biology; artificial intelligence; machine learning; deep learning; data mining; recommender system
Special Issue Information
Dear Colleagues,
Thanks to the development of high-throughput techniques, a vast amount of omics data is publicly available and the application of machine learning methods to these datasets provides great insights into the underlying pathogenesis of diseases at a system level. In this regard,
great efforts have been made to efficiently uncover potential biomarkers (miRNA) during the past decade. However, due to the lack of sufficient experimentally validated interactions, it still remains a challenge to achieve significant performance. In recent years, machine learning has been regarded as a great alternative for the detection of novel biomarkers to understand human diseases.
In this Special Issue, we welcome novel and innovative machine learning/data-driven methods that solve important biological problems such as biomarker detection and bioinformatics issues that are related to miRNAs.
Dr. Jihwan Ha
Guest Editor
Manuscript Submission Information
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Keywords
- bioinformatics
- computational biology
- machine learning
- multi-omics data analysis
- biomarker detection
- biomedical AI convergence
- medical and public health informatics
