An Open Source Microarray Data Analysis System with GUI: Quintet

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 writt...

• Type: Conference
• Year: 2005
• Where: RSFDGRC
• Authors: Jun-kyoung Choe, Tae-Hoon Chung, Sunyong Park, Hwan-Gue Cho, Cheol-Goo Hur
• Keywords: CDNA Microarray Data, Data Processing, Microarray Data Analysis, RSFDGRC 2005