Approaches & statistical considerations for analyzing genomic data - Andrew Sharp, Ph.D.

Objective: Learn about methods and importance of quality control of genomic data,statistical considerations and power calculations for large-scale data analysis
Format: Lecture

Principle component and cluster analysis and its uses for insights into trends, biases, and data quality control.

Types of data plots and their uses for gaining insights into high dimensional data.

Statistical approaches and power calculations for analyzing large datasets.