Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance
Abstract 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, t...
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2017
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oai:doaj.org-article:a79b7a3d0c4e4c8f9950c14e91f133362021-12-02T15:05:13ZPediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance10.1038/s41598-017-07551-82045-2322https://doaj.org/article/a79b7a3d0c4e4c8f9950c14e91f133362017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07551-8https://doaj.org/toc/2045-2322Abstract 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.Yongxin ChenFilemon Dela CruzRomeil SandhuAndrew L. KungPrabhjot MundiJoseph O. DeasyAllen TannenbaumNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017) |
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Medicine R Science Q Yongxin Chen Filemon Dela Cruz Romeil Sandhu Andrew L. Kung Prabhjot Mundi Joseph O. Deasy Allen Tannenbaum Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance |
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Abstract 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. |
format |
article |
author |
Yongxin Chen Filemon Dela Cruz Romeil Sandhu Andrew L. Kung Prabhjot Mundi Joseph O. Deasy Allen Tannenbaum |
author_facet |
Yongxin Chen Filemon Dela Cruz Romeil Sandhu Andrew L. Kung Prabhjot Mundi Joseph O. Deasy Allen Tannenbaum |
author_sort |
Yongxin Chen |
title |
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_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_sort |
pediatric sarcoma data forms a unique cluster measured via the earth mover’s distance |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/a79b7a3d0c4e4c8f9950c14e91f13336 |
work_keys_str_mv |
AT yongxinchen pediatricsarcomadataformsauniqueclustermeasuredviatheearthmoversdistance AT filemondelacruz pediatricsarcomadataformsauniqueclustermeasuredviatheearthmoversdistance AT romeilsandhu pediatricsarcomadataformsauniqueclustermeasuredviatheearthmoversdistance AT andrewlkung pediatricsarcomadataformsauniqueclustermeasuredviatheearthmoversdistance AT prabhjotmundi pediatricsarcomadataformsauniqueclustermeasuredviatheearthmoversdistance AT josephodeasy pediatricsarcomadataformsauniqueclustermeasuredviatheearthmoversdistance AT allentannenbaum pediatricsarcomadataformsauniqueclustermeasuredviatheearthmoversdistance |
_version_ |
1718388913037377536 |