STAT 892-004 Integrative Data Science for Plant Phenomics

Spring 2018


Time and Location


Course Description

This is a plant phenomics data science course. The main data types include image-based phenomic, genomic, metabolomic, and transcriptomic data. Students will become proficient in the principles, statistical models, and practice of data-driven genome-to-phenome analysis via multi-type data integration; and hands-on experience in data analysis using R and/or Matlab. Successful completion of this course will enable students to process and integrate these diverse data types and build genomic linkages.

Texts and Reading Materials

No specific textbook required for this course. Relevant research papers and documents will be used.



Lectures will be delivered using a whiteboard and presentation slides.