Overview
CANC : An introduction to the basic principles underlying genome-wide analysis of high-dimensional genomic data such as gene expression, epigenetic, or proteomic or data through the lens of Ï㽶ÊÓƵ-seq expression data to illustrate concepts such as assessing data quality, the need for normalization, the impact of filtering, and testing for differential expression.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.