معرفی
Dr. Dario Strbenac is an academic researcher at the University of Sydney, affiliated with the Charles Perkins Centre. His work bridges bioinformatics, genomics, and computational biology, with a focus on cancer genomics, transcriptomics, and statistical machine learning applications.
Research Interests
- Development and evaluation of computational frameworks for omics data preprocessing
- Machine learning in precision medicine and cancer genomics
- Transcriptomic analysis of developmental biology (e.g., echinoderms)
- Identifying genomic biomarkers for melanoma and oral squamous cell carcinoma
- Investigation of gene expression stability and correlation methods
- Integration of multi-platform omics data for clinical applications
Publications and Trends
Strbenac's publications (2013–2025) emphasize statistical methods for analyzing high-throughput biological data, particularly in cancer and developmental biology. Notable contributions include tools like DCARS and QPEP, studies on melanoma mutation burden, and insights into echinoderm body plan development. His work aligns with precision medicine initiatives and genomic data standardization.
Affiliations
- University of Sydney, Charles Perkins Centre
- Collaborations across cancer research, computational biology, and developmental biology consortia
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