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2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764374/ https://www.ncbi.nlm.nih.gov/pubmed/26906061 http://dx.doi.org/10.1371/journal.pone.0149853 |
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author | Taskesen, Erdogan Reinders, Marcel J. T. |
author_facet | Taskesen, Erdogan Reinders, Marcel J. T. |
author_sort | Taskesen, Erdogan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4764374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47643742016-03-07 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues Taskesen, Erdogan Reinders, Marcel J. T. PLoS One Research Article 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. Public Library of Science 2016-02-23 /pmc/articles/PMC4764374/ /pubmed/26906061 http://dx.doi.org/10.1371/journal.pone.0149853 Text en © 2016 Taskesen, Reinders http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Taskesen, Erdogan Reinders, Marcel J. T. 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues |
title | 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues |
title_full | 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues |
title_fullStr | 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues |
title_full_unstemmed | 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues |
title_short | 2D Representation of Transcriptomes by t-SNE Exposes Relatedness between Human Tissues |
title_sort | 2d representation of transcriptomes by t-sne exposes relatedness between human tissues |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764374/ https://www.ncbi.nlm.nih.gov/pubmed/26906061 http://dx.doi.org/10.1371/journal.pone.0149853 |
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