Course Schedule - Fall Semester 2007

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

STAT 678 001 (CRN: 13020)

MICROARRAY DATA ANALYSIS

Long Title:
Department: Statistics
Instructor: Baggerly, Keith
Meeting: 3:00PM - 4:30PM TR (27-AUG-2007 - 7-DEC-2007) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Section Max Enrollment: 10
Section Enrolled: 4
Enrollment data as of: 15-MAY-2024 1:31PM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: This course is an introduction to the statistical and bioinformatic analysis of microarray data. The course covers both Affymetrix oligonucleotide arrays and two- color fluorescence cDNA microarrays. The course introduces students to the full range of processing microarray experiments, from experimental design, through image processing, background correction, normalization, and quality control to the downstream statistical analysis of differential expression. The course includes coverage of the key statistical concept of multiple testing. The covers common methods of pattern identification and pattern recognition in the context of microarrays. It also includes the bioinformatic interpretation of the results through tools to interact with public genome databases. All concepts will be illustrated through hands-on interaction with publicly available microarray data sets. Homework assignments will require some knowledge of R, a statistical programming language. The course will include a brief introduction to R. This class meets in the GSBS library (BSRB 53.8351).