SCIENTIFIC PROGRAMS AND ACTIVITIES
|September 24, 2017|
Short Course in Microarray Data Analysis
|Talk slides available online at http://www.stat.berkeley.edu/users/terry/zarray/Course/|
Jean (Yee Hwa) Yang, University of California - Berkeley,
Department of Statistics
Ben Bolstad, University of California - Berkeley, Department of Statistics
See their web site for microarray data analysis: http://www.stat.Berkeley.EDU/users/terry/zarray/Html/index.html
The purpose of the one-day Shortcourse in Statistics for Microarray
Data Analysis is to introduce statisticians and other researchers
to statistical issues in the design and analysis of microarray
studies of current interest to biologists and biomedical researchers.
Experience with statistical methods and in data analysis is a
pre-requisite, but no previous exposure to microarray data is
assumed. The course will include the opportunity for participants
to apply statistical methods to several datasets that will be
|Saturday May 25, 2002|
|9:00 - 9:45 am
|| Session 1. Biological and technical
Brief summary of issues relating to DNA, RNA, transcription,
cDNA, hybridization, cDNA microarray construction and use,
including imaging and image analysis.
|9:45 - 10:00||Break|
|10:00 - 10:45
|| Session 2. Design and preprocessing
Pros and cons of different designs including direct, reference, loop,
factorial, and time series alternatives. Ways of looking at the data,
and normalization to adjust for intensity-dependent and spatial
biases, and other systematic effects.
|10:45 - 11:00||Break|
|11:00 - 12:30||Computer Lab (Room 208 and 210)|
|12:30 - 2:00
|2:00 - 2:45
|| Session 3. Basic analyses
Estimating and testing for differential expression.
Multiple testing adjustments. Empirical Bayes.
Linear models for designed experiments.
|2:45 - 3:00||Break|
|3:00 - 3:45
|| Session 4. Advanced analyses
Classification, clustering and other multivariate methods.
Ideas for addressing issues relating to pathways and networks.
|3:45 - 4:00||Break|
|4:00 - 5:30||Computer Lab (Room 210) (Room 208 participants begin at 4:30)|