Translational Bioinformatics for Therapeutic Development

Chapter 1 Development and Optimization of Clinical Informatics Infrastructure to Support Bioinformatics at an Oncology Center

Chapter 2 Leveraging Pathology Informatics Concepts to Achieve Discrete Lab Data for Clinical Use and Translational Research

Chapter 3 Cohort Identification for Translational Bioinformatics Studies

Chapter 4 Transitioning Clinical Practice Guidelines into the Electronic Health Record through Clinical Pathways

Chapter 5 Variable Selection for Time-to-Event Data

Chapter 6 Binary Classification for Failure Risk Assessment

Chapter 7 Challenges and Opportunities of Genomic Approaches in Therapeutics Development

Chapter 8 Accessible Pipeline for Translational Research Using TCGA: Examples of Relating Gene Mechanism to Disease-Specific Outcomes

Chapter 9 Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments

Chapter 10 Investigating Inter- and Intrasample Diversity of Single-Cell RNA Sequencing Datasets

Chapter 11 Managing a Large-Scale Multiomics Project: A Team Science Case Study in Proteogenomics

Chapter 12 Synergistic Drug Combination Prediction by Integrating Multiomics Data in Deep Learning Models

Chapter 13 Introduction to Multiparametric Flow Cytometry and Analysis of High-Dimensional Data

Chapter 14 High-Dimensional Flow Cytometry Analysis of Regulatory Receptors on Human T Cells, NK Cells, and NKT Cells

Chapter 15 Quantitative Analysis of Bile Acid with UHPLC-MS/MS

Chapter 16 Sample Preparation and Data Analysis for NMR-Based Metabolomics