Bioinformatics of Disease Genes: 2023
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 417
Special Issue Editor
Interests: bioinformatics; single-cell sequencing; post-translational modification; RNA modification; machine learning; deep learning
Special Issue Information
Dear Colleagues,
Disease genes are key genes that affect the occurrence and development of disease; thus, finding disease genes or gene sets is essential for understanding and treating disease. However, our understanding of disease is very limited, as only a small proportion of disease genes have been identified. With the advance of new technology, various modalities of data have emerged for profiling normal and disease samples. Biomedical data are getting increasingly complicated, and the amount of data is increasing rapidly as well. To interpret the data, there is an urgent need for computational approaches, especially in the identification of disease genes, which is one of the major tasks for biomedical research.
In this Special Issue, we are calling for bioinformatic approaches to help interpreting biomedical data and deciphering gene regulation in disease.
Dr. Wankun Deng
Guest Editor
Manuscript Submission Information
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Keywords
- bioinformatics
- disease gene
- machine learning
- deep learning
- sequencing
- network analysis
- multimodal integration
- biomarker
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