Mirko Pavicic Venegas Computational Biologist Contact 865.341.2901 | PAVICICVENMV@ORNL.GOV All Publications Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior An emerging multi-omic understanding of the genetics of opioid addiction Estimating geographic variation of infection fatality ratios during epidemics A multi-ancestry genetic study of pain intensity in 598,339 veterans High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts... Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa Image-based time series analysis to establish differential disease progression for two Fusarium head blight pathogens in oat spikelets with variable resistance Antiviral Strategies Against SARS-CoV-2: A Systems Biology Approach A genome-wide association study of suicide attempts in the million veterans program identifies evidence of pan-ancestry and ancestry-specific risk loci Image-Based Methods to Score Fungal Pathogen Symptom Progression and Severity in Excised Arabidopsis Leaves... Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models Potential pathogenicity determinants identified from structural proteomics of SARS-CoV and SARS-CoV-2 Key Links Organizations Biological and Environmental Systems Science Directorate Biosciences Division Biocomputing and Information Section Computational and Predictive Biology Group
