Special Issue "Deep Learning and Machine Learning in Bioinformatics"
Deadline for manuscript submissions: closed (31 October 2021).
Interests: radiogenomics; bioinformatics; genome-wide association study; tumor mutational burden; cancer biology
Interests: bioinformatics; machine learning; data mining; computer vision; and big data analytics
Special Issues, Collections and Topics in MDPI journals
A Special Issue on the hot topic "Deep Learning and Machine Learning in Bioinformatics" is being prepared for the journal IJMS. In recent years, deep learning has been spotlighted as a highly active research field with great success in various machine learning communities, such as image analysis, speech recognition, and natural language processing; now, its promising potential is being actively discussed in the field of biomedicine. In particular, a dramatically increasing number of deep-learning-based approaches have been proposed in biomedical image and signal processing. However, the application of deep learning in other biomedical areas, such as genomics and computational biology, has been rather limited due to the difficulty of definition and interpretation of deep learning architecture. Moreover, there are still many challenging open problems in deep learning that need to be solved to allow its active use in the field of bioinformatics.
In this Special Issue, we envision that the application of deep learning and novel machine learning methods to biological problems will provide practical guides and useful solutions to improve predictive performance and enhance our understanding of biological mechanisms of target diseases. We invite your contributions in the form of original research articles with sound and innovative methodology.
This Special Issue welcomes topics including (but not limited to) the following:
- Protein structures;
- Single-cell clustering;
- Next-generation sequencing;
- Gene expression regulations;
- Genome-wide association studies;
- Clustering cancer subtypes in multi-omics data;
- Prediction of clinical outcomes using genomic data;
- Prediction of drug response;
- Integration of omics data;
- Mathematical modeling in cancer;
- Protein function prediction.
Dr. Jung Hun Oh
Dr. Mingon Kang
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 papers will be 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.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.