Special Issue "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: 15 December 2023 | Viewed by 175
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- bioinformatics
- disease gene
- machine learning
- deep learning
- sequencing
- network analysis
- multimodal integration
- biomarker