Special Issue "Machine Learning on Scientific Data and Information"
Deadline for manuscript submissions: 30 June 2019
In recent years, we have witnessed the explosive growth of high-throughput scientific data in different disciplines, such as bioinformatics and computational biology. Nonetheless, traditional algorithms can suffer from data scalability, noises, and curse of dimensionality. To address these issues together, new scalable machine learning algorithms have to be developed.
Therefore, we have initiated such a Special Issue in the hope that researchers will work together to alleviate and transform these challenges into opportunities for scientific advancement by proposing different kinds of machine learning algorithms.
Dr. Ka-Chun Wong
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 papers will be 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. Information is an international peer-reviewed open access monthly 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 1000 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.
- Machine Learning
- Data Science
- Computational Biology