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Several biplot methods applied to gene expression data |
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| Authors: | Mira Park Jae Won Lee Jung Bok Lee Seuck Heun Song |
| Institution: | 1. Department of Pre-medicine, Eulji University, 143-5 Yongdu-dong, Chung-gu, Daejon 301-832, Korea;2. Department of Statistics, Korea University, 5-1 Anam-dong, Seongbuk-gu, Seoul 701-112, Korea;3. Institute of Human Genomic Study, College of Medicine, Korea University, Gojan1-dong, Danwon-gu, Ansan, Gyeonggi-do, Korea |
| Abstract: | DNA microarray experiments result in enormous amount of data, which need careful interpretation. Biplot approaches show simultaneous display of genes and samples in low-dimensional graphs and thus can be used to represent the relationships between genes and samples. There are several different types of biplots, and these methods need to be evaluated because each plot provides different result. |
| Keywords: | Gene expression data Biplot Supplementary data Principal component analysis Factor analysis Correspondence analysis Multidimensional scaling |
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