Abstract
The GTEx Consortium reported that hierarchical clustering of RNA profiles from 25 unique tissue types among 1641 individuals accurately distinguished the tissue types, but a multidimensional scaling failed to generate a 2D projection of the data that separates tissue-subtypes. In this study we show that a projection by t-Distributed Stochastic Neighbor Embedding is in line with the cluster analysis which allows a more detailed examination and visualization of human tissue relationships.
Original language | English |
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Pages (from-to) | 1-6 |
Number of pages | 6 |
Journal | PLoS ONE |
Volume | 11 |
Issue number | 2 |
DOIs | |
Publication status | Published - 23 Feb 2016 |