Data-Intensive Bioinformatic Approaches in Human Disease
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 349
Special Issue Editor
Special Issue Information
Dear Colleagues,
The ever-increasing amounts of omics datasets combined with other high-quality clinical and imaging datasets are leading the study of human diseases into an era of biomedical big data. Bioinformatic methods continuously evolve, and machine learning or artificial intelligence technologies are key to extracting the relevant information from such high-dimensional, multi-domain and multi-modal biomedical big data. Data-intensive bioinformatic approaches, in the principle of data-intensive scientific research, have rapid growth, which can promote a great leap forward development of biomedical research. In this Special Issue, we welcome the submission of research articles and review articles on topics related to the data-intensive bioinformatic approaches in human diseases, describing novel models, algorithms, tools, software and pipelines in all fields of human diseases. Research topics among the following themes are especially welcomed:
- Multi-omics analysis of human diseases, using the bulk or single-cell data of genomic, transcriptomic, epigenomic, proteomic, metabonomic or metagenomic samples.
- Multi-modal analysis of human diseases, integrating the molecular, voice, text, image, behavior, and phenotyping-feature data from sick or healthy individuals.
- Temporal-spatial analysis of omics data from disease cohorts or animal models horizontally and longitudinally.
- The identification of disease drivers, disease dynamic network biomarkers, disease treatment targets for human diseases.
- The construction of disease predictive model, disease stratification model, rare disease model for precision medicine.
- Information technologies such as cloud computing, blockchain and artificial intelligence, supporting biomedical big data analysis of human diseases
Dr. Tao Zeng
Guest Editor
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Keywords
- data-intensive
- bioinformatics
- precision medicine
- multi-omics analysis
- multi-modal analysis
- temporal-spatial analysis
- machine learning
- artificial intelligence
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