| Course Id |
4143 |
| Dept and Number |
MOL
436
|
| Area |
|
| Title |
Statistical Methods for Genomic Data |
| Description |
An introduction to modern statistical methods for genomic data. Topics include analysis methods for gene expression arrays, characterizing large-scale patterns of variation in genomic data, inferring regulatory networks, population genetic modeling of SNP data, and integrating multiple types of genomic data. Methods recently introduced in the literature will be studied with the goal of formulating the unifying statistical principles of high-dimensional biological data analysis. |
| Prerequisites |
A course in basic statistics (e.g., EEB/MOL 355 or ORF 245) or a course in quantitative biology (e.g., ISC 236, MOL 410/510, MOL/COS 455, MOL/COS 551, MOL 515). A working knowledge of basic genetics and molecular biology. |
| Professor |
John D. Storey |