Translational Bioinformatics for Therapeutic Development

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