Guest Editors
Prof. Dr. Qingjia Chi, Department of Engineering Structure and Mechanics, Wuhan University of Technology, Wuhan 430070, China. qingjia@whut.edu.cn
Summary
Bioinformatics analysis is now widely used in the therapeutic diagnosis and prediction of diseases. It is of great significance for disease gene diagnosis, gene function discovery, protein structure prediction, structure-based drug design, drug synthesis, and pharmaceutical industry, shortening drug development time, and personalized treatment of diseases. However, there is an urgent need for bioinformatics to use artificial intelligence and develop powerful machine learning and deep learning algorithms to improve and build disease diagnosis and prognosis models.
We welcome original research, reviews, and other articles relevant to the bioinformatics study of disease in this special issue. Topics include but may not be limited to:
Prognostic and diagnostic models of disease
Omics sequencing method development
Database construction
Multi-omics data integration
Bulk RNA-seq and single cell RNA-seq
Transcriptome bioinformatics
Bulk RNA-seq and
Proteome bioinformatics
Machine learning and deep learning algorithms in bioinformatics
Epigenetic bioinformatics
Traditional Chinese medicine systems biology and network pharmacology
Disease biomarker identification
Keywords
Bioinformatics, Prognostic Models, Diagnostic Models, Biomarker, Machine Learning, Drug Targets
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