Machine Learning in Bioinformatics: Latest Advances and Prospects

Dear Colleagues,

Machine learning can offer new perspectives in many fields of science and engineering. In particular, with the development of high-throughput technologies, the amount of biological data has been exponentially increased. Using large and complex datasets, machine learning techniques have been employed to solve a variety of biological problems. For example, machine learning has had significant impacts in many areas of bioinformatics, such as the analysis of genomic sequences, knowledge of gene regulation, prediction of molecular interactions, protein structure prediction, systematic modeling in cell systems, drug discovery, text mining, biomedical image analysis, and so on.

This Special Issue aims to cover recent advancements in machine learning techniques and applications that have been applied to bioinformatics. It will feature original research papers with technically sound and creative machine learning methods for a variety of biological challenges. Moreover, it invites review articles that present current challenges and outlooks in the field of biomedical sciences and highlight the importance of machine learning methods.

Dr. Je-Keun Rhee
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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 2400 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.