Special Issue "Methods and Applications of Statistical and Deep Learning in Mathematical Biology"

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".

Deadline for manuscript submissions: 30 December 2022 | Viewed by 200

Special Issue Editor

Prof. Dr. Qifeng Bai
E-Mail Website
Guest Editor
School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
Interests: drug design; deep learning; molecular dynamics simulations; mathematical biology

Special Issue Information

Dear Colleagues,

Deep learning has been successfully applied in biological research, medical diagnoses, retrosynthesis, cellular image analysis, drug design, and other fields. Some researchers consider deep learning methods to be developed based on statistics, which is the engine to promote the development of mathematical biology. To further discuss and promote these areas, this Special Issue “Methods and Applications of Statistical and Deep Learning in Mathematical Biology” cordially invites researchers to contribute their research or review articles. Potential topics include, but are not limited to, the following:

1) Deep learning methods for any related discipline of mathematical biology, such as related medical research, bioinformatics, drug design, biology, and COVID-19.

2) Statistical methods for any related discipline of mathematical biology, such as related medical research, bioinformatics, drug design, biology, and COVID-19.

3) Application of deep learning for any related discipline of mathematical biology, such as related medical research, bioinformatics, drug design, biology, and COVID-19.

4) Application of statistical methods for any related discipline of mathematical biology, such as related medical research, bioinformatics, drug design, biology, and COVID-19.

Prof. Dr. Qifeng Bai
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.

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 1800 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

  • deep learning
  • mathematical biology
  • applications
  • statistics

Published Papers

This special issue is now open for submission.
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