The journal Computational and Mathematical Biophysics (CMB) will publish a special issue entitled “Optimization and Machine Learning Algorithms for Biological Data Analysis”. CMB (https://www.degruyter.com/view/journals/cmb/cmb-overview.xml) is a recently established journal, whose aim is to promote the development of theoretical formulations, mathematical models, numerical algorithms, and computational techniques for elucidating molecular mechanisms and for solving open problems at the forefront of molecular bioscience and
biophysics. Original papers and high-quality review articles on the topics listed below are solicited for this special issue.
Potential topics include using optimization and machine learning algorithms to study, but not limited to: Molecular data analysis; Transcriptomics data analysis; Genomic data analysis; Image data analysis; Algorithms and applications of the above topics.
Important Dates: Manuscript Due: August 1, 2020; First Round of Reviews: November 15, 2020;
Anticipated Publication Date: January 15, 2021
Guest editors: Dr. Kang-Ling Liao (Leading), University of Manitoba, CA; Dr. Haizhao Yang, firstname.lastname@example.org, Purdue University, USA;
Dr. Xue Wang, email@example.com, Mayo Foundation for medical education and research, USA