| Title | A method for visual identification of small sample subgroups and potential biomarkers |
| Authors | Charlotte Soneson, Magnus Fontes |
| Alternative Location | http://dx.doi.org/10.1214/1..., Restricted Access |
| Publication | The Annals of Applied Statistics |
| Year | 2011 |
| Volume | 5 |
| Issue | 3 |
| Pages | 2131 - 2149 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | Institute of Mathematical Statistics |
| Abstract English | In order to find previously unknown subgroups in biomedical data and <br> generate testable hypotheses, visually guided exploratory analysis can be of <br> tremendous importance. In this paper we propose a new dissimilarity measure <br> that can be used within the Multidimensional Scaling framework to obtain a <br> joint low-dimensional representation of both the samples and variables of a <br> multivariate data set, thereby providing an alternative to conventional biplots. <br> In comparison with biplots, the representations obtained by our approach are <br> particularly useful for exploratory analysis of data sets where there are small <br> groups of variables sharing unusually high or low values for a small group of <br> samples. |
| ISBN/ISSN/Other | ISSN: 1941-7330 (online) |
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