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Talks / Posters - Extracting
information
Title: Extracting information
from microarray images
Speaker: Jean Yee
Hwa Yang
Place: Biostatistics,
UC Berkeley
Date: Feb.
2, 2000
Abstract:
Microarrays allow us to estimate
the relative expression levels of
thousands of genes simultaneously.
Early results from analysis of
these genomic data are greatly
accelerating research in basic molecular
biology with a powerful impact
on drug discovery and clinical
diagnostics. This array technology
generates a huge amount of data in
the form of high-density images.
Meaningful information regarding
each spot needs to be extracted
before further analysis (such as
clustering) can be done.
In this talk, I will describe the microarray
technology and how raw data images
are processed to produce useful
information. This discussion
will include methods for normalizing
intensities between two images,
automatic griding procedure,
segmentation of spots and the extraction
of various quality
measurements for each spot.
Slides: Download
[pdf files] [ps
file]
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Last modified: Sun Sep 30 22:01:05 PDT 2001
zarray@stat.berkeley.edu
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