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Development of an Efficient Data Processing Method for cDNA Microarray and Its Application to Tissue Expression Profiling
Bibliografi
Author:
Kadota, Koji
;
Miki, Rika
;
Okazaki, Yasushi
;
Shimizu, Kentaro
;
Hayashizaki, Yoshihide
Topik:
cDNA Microarray
;
Tissue Expression Profiling
Bahasa:
(EN )
Penerbit:
Japanese Society for Bioinformatics
Tempat Terbit:
Tokyo
Tahun Terbit:
0
Jenis:
Article - lainnya
Fulltext:
GIW99P01.pdf
(32.41KB;
1 download
)
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Abstract
cDNA microarray is a powerful tool in that it can simultaneously monitor massive gene expression of cellular transcripts. Since the experimental procedure consists of multi-steps, there are several factors that can affect the reproducibility of the final results. To increase the accuracy or robustness of the data, it would be better to use the results that are reproducible. We have developed a filtering program to selectively extract genes whose expression pattern showed reasonable reproducibility. We applied this system for the analysis of tissue expression profiling and found that this filtering method is highly feasible for the data processing of cDNA microarray.
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