Special Issue "Deep Learning in Metabolomics"
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Bioinformatics and Data Analysis".
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 873
Special Issue Editors
Interests: deep learning; metabolomics; data analysis; software design; chemometrics
Interests: deep learning; metabolomics; artificial intelligence; big data; chemometrics
Interests: systems biology; translational bioinformatics; biophysical informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Deep learning is a revolutionary technique in artificial intelligence, and has fundamentally changed the machine learning community. Various fields in metabolomics have significantly progressed following the introduction of deep learning, including (but not limited to) metabolic data mining, metabolite identification, biomarker discovery, metabolic network and pathway prediction, and metabolite function prediction. The research paradigm of metabolomics is transforming from experience-driven to data-driven. Such an improvement will provide a less biased and comprehensive view of metabolomics, and lead to a better understanding of the relationship between metabolomics and life activities.
Urgent research targets include improvements in the interpretability and usability of deep learning strategy in metabolomics. For example, designing neural networks with explicit biological meaning specific to metabolomics, designing deep learning algorithms specific to a biological problem, designing software with an integrated interface, and pre-trained model for end-users. This Special Issue will focus on these aims, as well as original research on new deep learning algorithms and applications. We welcome submissions related to biological applications, as well as basic research in computing science within the context of a metabolism problem domain. Insightful reviews and algorithm comparisons are also very welcome.
Dr. Hongchao Ji
Dr. Xiaqiong Fan
Dr. Hunter Moseley
Guest Editors
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. Metabolites 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 2200 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.
