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Biostatistics & Bioinformatics Seminar – ‘Detecting high-dimensional association in large scale genomic data’

Academic Support Building (ASB) Room 2200G 90 Hope Drive, Hershey, PA, United States

Presented by: Qunhua Li, PhD, Associate Professor, Dept of Statistics, Associate Chair, Bioinformatics & Genomics Graduate Program, Penn State

Biostatistics & Bioinformatics Seminar – ‘OTTERS: A powerful framework integrating summary-level molecular QTL data with GWAS data’

Webconference

Presented by: Dr. Jingjing Yang, Ph.D., Center for Computational and Quantitative Genetics, Assistant Professor of Human Genetics, Emory University School of Medicine About the presentation: Existing transcriptome-wide association study (TWAS) tools require individual-level genetic and transcriptomic data from a reference source like GTEx (n=~100s) to estimate eQTL effect sizes. To extend the TWAS approach to […]

Biostatistics & Bioinformatics Seminar – ‘Novel Clinical Outcome Prediction Models Using Heterogeneous Electronic Health Record data’

Webconference

Presented by: Chen Hu, PhD, Associate Professor, Division of Quantitative Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health About the presentation: For oncology clinical trials, time-to-event endpoints, such as overall survival or progression-free survival, are used widely as key endpoints and […]

Biostatistics & Bioinformatics Seminar – ‘A Bayesian Decision Framework for Optimizing Sequential Combination Antiretroviral Therapy in People with HIV’

Webconference

Presented by: Yanxun Xu, PhD, Associate Professor and Joseph & Suzanne Jenniches Faculty Scholar in the Department of Applied Mathematics and Statistics at Johns Hopkins University About the presentation: Numerous adverse effects (e.g., depression) have been reported for combination antiretroviral therapy (cART) despite its remarkable success on viral suppression in people with HIV (PWH). To […]


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