Computer Vision, Deep Learning and Machine Learning with Applications in Genomics and Genetics
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".
Deadline for manuscript submissions: closed (15 January 2021)
Special Issue Editors
Interests: molecular ecology; evolutionary genetics; biodiversity; genomics, transciptomics; mathematics of forecasting and measuring biodiversity; conservation genetics and demography; endangered harvested and invasive species; evolutionary ecology of parentage, relatedness and group formation, especially in dolphins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning and artificial intelligence is an interdisciplinary field of research focused on developing algorithms and statistical models for intelligent systems that can function without explicit instructions. One of the founding pillars of Artificial Intelligence and modern machine learning is information theory from Claude Shannon’s seminal work over 70 years ago that has its roots in communication systems and deals with data compression and coding theorems for transmission of information from one source to another over-noisy channels. More recently, deep learning has emerged as a front-runner within Artificial Intelligence inspired by neural information processing and functioning of the brain and powered by the availability of modern powerful GPUs. Over the last decade, deep learning has made impressive advances in applications ranging from computer vision and robotics to natural language processing and speech recognition. In this context, an emerging area of research has been the application of deep learning methodologies for several applications in genomics, genetics, and medical imaging (such as genomic prediction, genetic analysis of complex traits related to multifactorial diseases, and imaging genomics exploring relationships between genotypes, phenotypes and clinical outcomes). Although applications are growing at a very fast pace, many theoretical and practical challenges exist. The motivation behind this issue is to bring together researchers and practitioners from artificial intelligence, information theory, genomics, and genetics and provide a platform for sharing their research in addressing how information theory can help to advance theoretical understanding of machine learning and deep learning models (such as optimization, transfer learning, model interpretation, etc.), and at the same time demonstrating novel applications of deep learning and information theory in addressing problems in genomics, genetics, and computer vision for biological applications. Review articles exploring these areas are also welcome.
Dr. Chanda Pritam
Prof. William B. Sherwin
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. Entropy 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 2600 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.
