IMR Press / FBL / Special Issues / 1411880026680774657

Computational biomarker detection and analysis

Submission deadline: 01 April 2022
Special Issue Editors
  • Quan Zou, PhD
    Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
    Interests: Bioinformatics; Machine Learning; Algorithm
  • Chen Lin, PhD
    Xiamen University, China
    Interests: Recommender Systems; Text Summarization; Drug Bioinformatics
Special Issue Information

Dear Colleagues,

All diseases are usually classified further according to the diagnosis so that therapies may be tailored to the particular clinical situation. The uncertainties may be about the accuracy of available diagnostic tests, the natural history of diseases, the effects of treatment in a patient or the effects of an intervention in a group or population as a whole. With such complicated environment, it can be difficult to comprehend all options “in our heads”. Recently, the widespread use of computers makes it easy to collect many medical data from a diverse range of sources. Indications show that computational intelligence techniques have given rise to new forms of clinical support by enabling the notion of medical informatics, but also because of doubts as to their quality and trustworthiness. However, these biomedical data and events make complicated clinical management an actual evaluating challenge. To discuss this matter and apply advanced methods in order to better understand and to improve health care, which via the prediction, diagnosis, treatment, and prognosis of disease in human beings. This special issue spans theoretical, practical, and technical issues in biomedical informatics and clinical science, especially on the disease biomarker detection and analysis. Research on applications of prevention, prediction and prognosis topics are appropriate for this special issue. We look forward to contributions from academicians, researchers, and educators worldwide.

Prof. Quan Zou and Prof. Chen Lin

Guest Editors

Machine Learning
Biological Network
Noncoding RNA
Manuscript Submission Information

Manuscripts should be submitted via our online editorial system at by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles, reviews as well as short communications are preferred. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office to announce on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open access journal is 2500 USD. Submitted manuscripts should be well formatted in good English.

Published Paper (3 Papers)
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