Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance

In this note, we combined pediatric sarcoma data from Columbia University with adult sarcoma data collected from TCGA, in order to see if one can automatically discern a unique pediatric cluster in the combined data set. Using a novel clustering pipeline based on optimal transport theory, this turne...

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Autores principales: Chen, Yongxin, Cruz, Filemon Dela, Sandhu, Romeil, Kung, Andrew L., Mundi, Prabhjot, Deasy, Joseph O., Tannenbaum, Allen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539155/
https://www.ncbi.nlm.nih.gov/pubmed/28765612
http://dx.doi.org/10.1038/s41598-017-07551-8
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author Chen, Yongxin
Cruz, Filemon Dela
Sandhu, Romeil
Kung, Andrew L.
Mundi, Prabhjot
Deasy, Joseph O.
Tannenbaum, Allen
author_facet Chen, Yongxin
Cruz, Filemon Dela
Sandhu, Romeil
Kung, Andrew L.
Mundi, Prabhjot
Deasy, Joseph O.
Tannenbaum, Allen
author_sort Chen, Yongxin
collection PubMed
description In this note, we combined pediatric sarcoma data from Columbia University with adult sarcoma data collected from TCGA, in order to see if one can automatically discern a unique pediatric cluster in the combined data set. Using a novel clustering pipeline based on optimal transport theory, this turned out to be the case. The overall methodology may find uses for the classification of data from other biological networking problems.
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spelling pubmed-55391552017-08-07 Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance Chen, Yongxin Cruz, Filemon Dela Sandhu, Romeil Kung, Andrew L. Mundi, Prabhjot Deasy, Joseph O. Tannenbaum, Allen Sci Rep Article In this note, we combined pediatric sarcoma data from Columbia University with adult sarcoma data collected from TCGA, in order to see if one can automatically discern a unique pediatric cluster in the combined data set. Using a novel clustering pipeline based on optimal transport theory, this turned out to be the case. The overall methodology may find uses for the classification of data from other biological networking problems. Nature Publishing Group UK 2017-08-01 /pmc/articles/PMC5539155/ /pubmed/28765612 http://dx.doi.org/10.1038/s41598-017-07551-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chen, Yongxin
Cruz, Filemon Dela
Sandhu, Romeil
Kung, Andrew L.
Mundi, Prabhjot
Deasy, Joseph O.
Tannenbaum, Allen
Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance
title Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance
title_full Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance
title_fullStr Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance
title_full_unstemmed Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance
title_short Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance
title_sort pediatric sarcoma data forms a unique cluster measured via the earth mover’s distance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539155/
https://www.ncbi.nlm.nih.gov/pubmed/28765612
http://dx.doi.org/10.1038/s41598-017-07551-8
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