2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues Article Swipe

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Projection (relational algebra) Cluster analysis Transcriptome Embedding Computational biology Multidimensional scaling Representation (politics) Visualization Computer science Hierarchical clustering Biology Cluster (spacecraft) Pattern recognition (psychology) Artificial intelligence Genetics Gene expression Gene Algorithm Machine learning Law Politics Programming language Political science

Erdogan Taskesen , Marcel Reinders ·

YOU? · · 2016 · Open Access · · DOI: https://doi.org/10.1371/journal.pone.0149853 · OA: W2274701473

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.