The CSCU (Cornell Statistical Consulting Unit) is very fortunate to be able to bring you two free full-day workshops presented by statisticians from JMP Academic Programs. These workshops will consist of a mixture of lectures and hands-on exercises. Note that both these workshops may be of interest to users of other software as well as to JMP users. No previous knowledge of JMP is required since it is a very user-friendly package despite its extensive capabilities.
Analysis of Genomic Data – January 17, 8:30 a.m. to 4:30 p.m. - Mann Library - Stone Classroom
*This workshop is full, but you can register and be added to the waitlist
In this workshop we will cover data cleaning and filtering, genetic association analyses (e.g., GWAS and SNP-trait associations), genetic linkage mapping, expression analysis (for Extension to microarrays, RNA-seq, metabolomics, and proteomics), predictive modeling for traits, and special topics such as in-silico progeny simulation.
Design of Experiments – January 18, 8:30 a.m. to 4 p.m. - Mann Library - Stone Classroom
This workshop will cover the fundamentals and theory of designing experiments. It will review how to create standard classical designs as well as extend standard designs to situations when you have fewer or more runs allowed, when you want to add more runs to an already designed experiment, or when you have restrictions on the design space. We will discuss optimality criteria, choosing appropriate effect sizes for power calculations, and guidelines for choosing a "best" design.
For more information about these two workshops and to register, visit https://www.cscu.cornell.edu/workshops/schedule.php.