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

Taskesen, E.; Reinders, M.J.T.

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

Journal article (2016)

Authors

E. Taskesen Pattern Recognition and Bioinformatics -

M.J.T. Reinders Pattern Recognition and Bioinformatics -

Research Group

Pattern Recognition and Bioinformatics () (TU Delft)

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http://resolver.tudelft.nl/uuid:96fb81aa-b1fb-4d9f-a996-6751958091a1

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Published Date

23-02-2016

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Pattern Recognition and Bioinformatics

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.