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Mathematical Methods for Computational Biology
This special issue belongs to the section “E3: Mathematical Biology“.
Special Issue Information
Dear Colleagues,
This Special Issue seeks original research articles that introduce innovative mathematical, statistical, and computational methods for analyzing and modeling biological systems. The aim is to showcase advancements where biological challenges are addressed through rigorous mathematical formulations, theoretical analyses, and computational implementations.
We encourage the submission of contributions on machine learning and data analysis that are grounded in mathematics—including learning algorithms with theoretical guarantees—as well as work focusing on interpretability, robustness, and scalability in biological contexts. Submissions that explore computational statistics—such as stochastic processes, Bayesian inference, statistical learning, and uncertainty quantification for complex biological data—are welcome.
Additionally, this Special Issue seeks papers that employ complex networks as mathematical frameworks to model biological interactions and dynamics, with applications in systems biology, neuroscience, genomics, epidemiology, and ecology. Studies that employ optimization methods—covering convex and non-convex optimization, evolutionary and metaheuristic algorithms, and numerical optimization techniques—are encouraged, especially those that support parameter estimation, model calibration, or efficient computation.
We particularly welcome interdisciplinary contributions that combine mathematical rigor with computational approaches and demonstrate their relevance to real biological systems or datasets.
Dr. Andriana Susana Lopes De Oliveira Campanharo
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 250 words) can be sent to the Editorial Office for assessment.
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
- machine learning
- data analysis
- computational biology
- computational statistics
- complex networks
- optimization methods
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