Systematic and Comparative Evaluation of Software Programs for Template-Based Modeling of Protein Structures.
Development of computational models using omics data for the identification of effective cancer metabolic biomarkers.
Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models.
Systematic analysis of Mendelian disease-associated gene variants reveals new classes of cancer-predisposing genes.
Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data.
Preoperative C-reactive protein/albumin ratio and mortality of off-pump coronary artery bypass graft.
Association between Preoperative C-Reactive Protein-to-Albumin Ratio and Mortality after Plastic and Reconstructive Surgery.
