Stat 892: Statistical Genomics
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Objective
Statistical genomics involves the integration of both statistics and genetics. As such, students will be expected to understand both biology and the statistics. As with many areas of science, teams which bring together people with different areas of expertise are the norm. This is the approach we will take in this class.
The objective of this course is to examine a variety of topics in the area of statistical genomics. Initially we will examine the design and analysis of cDNA microarray experiments. The specific topics to be covered later in the course will depend on the specific areas of interest of students in the class.
| Instructor: | Steve Kachman |
| Office: | 355B Hardin Center |
| E-mail: | skachman@unl.edu |
| Phone: | 472-2903 |
| Office Hours: | By appointment or drop in |
| Syllabus: | Course Syllabus
To view the Course Syllabus click on Course Syllabus . If Acrobat Reader is not installed on your computer click on |
| Prerequisites: |
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| Homework: | Approximately once a
week
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| Exams: | Two exams, will be announced at least one week in advance |
| Final Exam: | 10:00 AM to 12:00 PM
Monday, Dec. 13
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| Check Grades: | Blackboard Course Info |
- Comprehensive R Archive
- R Statistical Package
- Biocondtucor
- LIMMA: Linear Models for Microarray Data
- R/maanova Package

