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Special Issue "Multi-Omics Co-expression Network Analysis"
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: 31 July 2023 | Viewed by 2885
Special Issue Editor
E-Mail Website1 Website2
Interests: computational biology; bioinformatics; innate immunity; neonate immunity; R; bulk and single-cell transcriptomics co-expression network analysis, data integration
Special Issue Information
Independent high-throughput omic studies (e.g., genomics, epigenomics, transcriptomics, proteomics, and metagenomics) that aimed to understand a specific problem, such as human disease, have been successfully applied to a large extent in the last decade. In transcriptomics, statistical analysis methods are used to explore biological functions which contribute to the discovery of multiple pathways and the understanding of gene–disease relationships. These studies create a large amount of data, which may be used to answer even broader questions than originally planned by carefully integrating them using suitable mathematical frameworks. To fully comprehend the complex interactions that occur in cellular processes, approaches that can also capture the relationships between the genes involved are very beneficial. Co-expression networks have been utilized as a method to describe and study gene relationships in order to overcome this problem. Furthermore, co-expression networks can be utilized to integrate different omics datasets.
We invite original research and short communications on tools that enable the combination of co-expression network analysis with at least one other omic layer, including an application demonstrating the benefits of your approach, as well as review articles on topics related to "Multi-Omics Co-Expression Network Analysis" to be submitted to this Special Issue. We look forward to receiving your contributions.
Dr. Thomas Ulas
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. Biology 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.
- co-expression network analysis
- data integration
- network visualization
- network comparison