title: 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues.
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.
authors.affiliation: Delft Bioinformatics Lab (DBL), Delft University of Technology, Delft, 2628CD, the Netherlands.
authors.forename: Erdogan
authors.initials: E
authors.lastname: Taskesen
authors.affiliation: Delft Bioinformatics Lab (DBL), Delft University of Technology, Delft, 2628CD, the Netherlands.
authors.forename: Marcel J T
authors.initials: MJ
authors.lastname: Reinders
mesh_terms: D030541:Databases, Genetic; D005260:Female; D006801:Humans; D008297:Male; D009928:Organ Specificity; D059467:Transcriptome