Omics Data Analysis and Integration in Complex Diseases, 2nd Edition
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Biomedical Engineering and Materials".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 4427
Special Issue Editors
2. Centre for Genomics and Oncological Research, Pfizer-University of Granada-Andalusian Regional Government, 18016 Granada, Spain
Interests: bioinformatics and biostatistics; computational biomedicine; omics data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; autoimmune diseases; computational biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emergence of omics technologies has revolutionized research in biomedicine, allowing us to analyze molecular mechanisms of complex diseases at an unprecedented scale. The analysis of omics data offers enormous possibilities for applications in biomarker discovery, patient stratification and disease classification or drug discovery, and they are fueling precision medicine strategies.
In this context, the development of statistical and computational methods to properly analyze and extract knowledge from large and heterogeneous omics datasets has become a major focus of research. Additionally, the availability of studies that generate multi-omics data from the same cohort of patients has opened new challengences in the field, as the integration of multi-omics data can provide more accurate and robust results than the analysis of a single type of omics data.
In this Special Issue, we will focus on new statistical and computational methods for omics data analysis and integration in complex diseases, new software and bioinformatics pipelines to analyze omics data and applications in biomarker discovery, disease classification, patient stratification, drug repurposing, and drug discovery. Validation experiments are required.
Dr. Pedro Carmona-Sáez
Dr. Daniel Toro-Domínguez
Dr. Jordi Martorell-Marugán
Guest Editors
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Keywords
- omics data analysis
- omics data integration
- biomarker discovery
- disease classification
- precision medicine
- machine learning
- bioinformatics
- biostatistics
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