Translational Bioinformatics for Therapeutic Development

<p>Development and Optimization of Clinical Informatics Infrastructure to Support Bioinformatics at an Oncology Center.-&nbsp;Leveraging Pathology Informatics Concepts to Achieve Discrete Lab Data for Clinical Use and Translational Research.-&nbsp;Cohort Identification for Translational Bioinformatics Studies.-&nbsp;Transitioning Clinical Practice Guidelines into the Electronic Health Record through Clinical Pathways.-&nbsp;Variable Selection for Time-to-Event Data.-&nbsp;Binary Classification for Failure Risk Assessment.-&nbsp;Challenges and Opportunities of Genomic Approaches in Therapeutics Development.-&nbsp;Accessible Pipeline for Translational Research using TCGA: Examples of Relating Gene Mechanism to Disease Specific Outcomes.-&nbsp;Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments.-&nbsp;Investigating Inter- and Intra-Sample Diversity of&nbsp; Single-Cell RNA Sequencing Datasets.-&nbsp;Managing a Large-scale Multi-Omics Project: A Team Science Case Study in Proteogenomics.-&nbsp;Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models.-&nbsp;Introduction to Multi-Parametric Flow Cytometry and Analysis of High-Dimensional Data.-&nbsp;High Dimensional Flow Cytometry Analysis of Regulatory Receptors on Human T cells, NK cells, and NKT Cells*.-&nbsp;Quantitative Analysis of Bile Acid with UHPLC-MS/MS.-&nbsp;Sample Preparation and Data Analysis for NMR–based Metabolomics.</p>

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