About The Course
We will teach a review of linear algebra, including matrix notation and the concept of projections, which underlies many of the current tools for analyzing large-dimensional data. We will then use linear models to represent differences between experimental units and perform statistical inference on these differences.
- Linear algebra: matrix notation, projections
- Linear models
This class was supported in part by NIH grant R25GM114818.
This course is part of a larger set of 8 total courses:
PH525.1x: Statistics and R for the Life Sciences
PH525.2x: Introduction to Linear Models and Matrix Algebra
PH525.3x: Advanced Statistics for the Life Sciences
PH525.4x: Introduction to Bioconductor
PH525.5x: Case study: RNA-seq data analysis
PH525.6x: Case study: Variant Discovery and Genotyping
PH525.7x: Case study: ChIP-seq data analysis
PH525.8x: Case study: DNA methylation data analysis