Special Issue "Bioinformatics and Machine Learning in Disease Research"
Deadline for manuscript submissions: 20 December 2022 | Viewed by 474
2. Applied BioSciences, Faculty of Science and Engineering, Macquarie University, Macquarie Park, NSW 2113, Australia
Interests: bioinformatics; transcriptomics; genomics; clinical genomics
Genomics is forecast to be the largest source of Big Data by 2025, totaling up to 40 exabytes per year and exceeding all current sources of Big Data combined (astronomy, YouTube, and Twitter). When other bioinformatics data are included in this, the vast volumes we have at our disposal become clear. ‘Data is the new gold’ is an often-used phrase that speaks to the value we can gain from such rich datasets, but to create this value, we need to effectively mine the data using innovative machine learning approaches.
Many prevalent human diseases are driven by multiple and complex factors, including diabetes, cardiovascular disease, and cancer. To understand the complex interplay of genetic and environmental factors driving these diseases, we need data-driven approaches which cater to large datasets, and machine learning offers us exactly this. Given the huge potential of machine learning and bioinformatics to understand human disease, a Special Issue of the journal Genes is being launched to explore the methods and applications of machine learning and bioinformatics in human disease. Authors are encouraged to submit original manuscripts describing the utilization of machine learning and bioinformatics to answer scientific questions relating to human disease. Also encouraged are papers describing new methods and reviews or comparisons of machine learning approaches in the context of human disease.
Dr. Natalie A. Twine
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. Genes 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 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.
- machine learning
- human disease
- big data
- complex genetic disease