Mathematical Methods and Machine Learning in Biology
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 1376
Special Issue Editors
Interests: numerical analysis; mathematical biology; machine leaning; data analysis
Special Issue Information
Dear Colleagues,
In recent years, the combination of computing power and an increase in biological data sets has led to a breakthrough in the applications of machine learning (ML) techniques in mathematical modeling applied to biology and medicine. Mathematical models based on analytical concepts such as differential geometry, differential equations, persistent homology, and graph theory have been widely used to describe various biological processes and can be combined with advanced ML algorithms to help interpret biomedical data produced by high-throughput genomics and proteomics projects. Over a noticeably brief period, mathematics-based ML methods have made a remarkable impact on multiple fields of biology, including medical image analysis, predictions of disease outbreaks, protein structure predictions, protein–ligand binding affinity predictions, and drug design. This Special Issue provides a unique opportunity for researchers from academia and industry to present their new and unpublished work and to promote future studies in an emerging field such as applying mathematics-based ML models to highly diverse biological data.
Dr. Md Masud Rana
Dr. Duc Duy Nguyen
Guest Editors
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.
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. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). 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.
Keywords
- mathematical modeling
- machine learning
- molecular biology
- bioinformatics
- drug design
