Health Information Science and Systems - Call for papers: AI methods for disease-related omics data analysis (ISBRA 2024)
Title : AI methods for disease-related omics data analysis (ISBRA 2024)
Since 2005, ISBRA conferences have served the computational biology and bioinformatics community, as a forum for the exchange of ideas and results among researchers, developers, and practitioners working on all aspects of bioinformatics and computational biology and their applications. The 20th International Symposium on Bioinformatics Research and Applications (ISBRA 2024) will be held in Kunming, China. The ISBRA 2024 invites high quality original full papers on any topic related to bioinformatics and computational biology.
Scope of this Special Issue:
This special issue will focus on the recent development in advanced AI methods for disease-related omics data analysis, including:
- Machine learning
- Data mining
- Network analysis
- Statistical analysis
We will also be interested in novel methods to integrate different types of omics data to understand diseases better.
This proposal can contribute significantly to the field of disease research. All included works will lead to identifying new biomarkers and therapeutic targets for diseases, ultimately improving the diagnosis, treatment, and prevention of diseases.
Guest Editors:
- Dr. Wei Peng, Kunming University of Science and Technology, China
Dr. Zhipeng Cai, Georgia State University, USA
Dr. Pavel Skums, University of Connecticut, USA
Dr. Jin Liu, Central South University, China
Tentative Time Schedule:
Submission of manuscript: Aug 10, 2024
First-round peer review: Sep 10, 2024
Revised version due: Oct 1, 2024
Final notifications: Oct. 15, 2024
Publication: Nov 1, 2024
Submission Guidelines:
To submit your work to this special issue, it must extend the research presented at ISBRA 2024 by offering deeper insights, additional experiments, or extended discussions relevant to the journal's audience. All manuscripts will undergo a rigorous peer-review process, adhering to the journal's standards for novelty, impact, and relevance to real-world medical domains.
We encourage authors to:
Clearly articulate the novelty in methodological and/or theoretical content related to the scope of Special Issue.
Discuss the clinical assessment and implications of the proposed topic, as well as their real-world applicability and potential impact on medicine and healthcare.
Submission Process:
Authors should prepare their manuscript according to the Instructions for Authors available from the Health Information Science and Systems. Authors should submit through the online submission site “Submit manuscript” (this opens in a new tab) and at the time of article submission, the Topical Issue section can be found under the ‘Additional Information’ Section. Please follow the given steps:
Step I - ‘Does this manuscript belong to a special issue? Yes/No’. Please enter ‘Yes’.
Step II - The author must choose the Topical Issue of choice from the dropdown list, which will be: “S.I. : AI methods for disease-related omics data analysis".
Submitted papers should present original, unpublished work, relevant to the topics of the track. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal at any time during the review process. The papers will undergo the standard, rigorous journal review process and be accepted only if well-suited to the topic of this special issue and meeting the scientific level of the journal. Final decisions on all papers are made by the Editor in Chief.
All enquiries regarding the topical issue should be sent to Publishing Editor: Teena Bedi teena.bedi@springer.com (this opens in a new tab)