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Abstract :
Microarray plays an important role in life science for the past decade.
It studies the cell mRNA expression which is an intermediate stage between
genotype and phenotype. It also reveals the intra-cellar activities during
any particular stage of biological development, including abnormal
development such as cancer. Due to large subject, temporal and
experimental variations, the interpretation of microarray results is far
from clear-cut.
Statistics has become an indispensable tool to make microarray decisions
reliable. The first talk of this series will be on the experimental
procedure, its biological meaning, the source of variation and
data-editing. The second talk is on statistical methods including multiple
decisions, classification and clustering. The main references are: R. M.
Simon, et al. "Design and Analysis of DNA Microarray Investigations",
Springer, 2003;
G. Parmigiani, et al. (ed.) "The Analysis of gene Expression Data" and
speaker's own publications which can be found from his website
http://www.stat.ufl.edu/~yang/publications/index.html
(B(2):9, 14)
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| Place : |
Lecture Room A,
National Center for Theoretical
Sciences,
4th Floor, The 3rd General Building
National
Tsing Hua University
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