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Title 

An open source microarray data analysis system with GUI: Quintet

Authors 

Jun Kyoung ChoeTae Hoon ChungSynyong ParkH G ChoCheol-Goo Hur

Issue Date 

2005

Citation 

Lecture Notes in Artificial Intelligence, vol. 3642, no. 1, pp. 392-401

Keywords 

database systemsidentification (control systems)quality assurancemicroarraysquintetdata reduction

Abstract 

We address Quintet, an R-based unified cDNA microarray data analysis system with GUI. Five principal categories of microarray data analysis have been coherently integrated in Quintet: data processing steps such as faulty spot filtering and normalization, data quality assessment (QA), identification of differentially expressed genes (DEGs), clustering of gene expression profiles, and classification of samples. Though many microarray data analysis systems normally consider DEG identification and clustering/classification the most important problems, we emphasize that data processing and QA are equally important and should be incorporated into the regular-base data analysis practices because microarray data are very noisy. In each analysis category, customized plots and statistical summaries are also given for users convenience. Using these plots and summaries, analysis results can be easily examined for their biological plausibility and compared with other results. Since Quintet is written in R, it is highly extendable so that users can insert new algorithms and experiment them with minimal efforts. Also, the GUI makes it easy to learn and use and since R-language and its GUI engine, Tcl/Tk, are available in all operating systems, Quintet is OS-independent too.

ISSN 

0302-974X

Link 

http://dx.doi.org/10.1007/11548706_41

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2017-04-19


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