Pediatric sarcoma data forms a unique cluster measured via the Earth Mover's Distance Journal Article


Authors: Chen, Y.; Dela Cruz, F.; Sandhu, R.; Kung, A. L.; Mundi, P.; Deasy, J. O.; Tannenbaum, A.
Article Title: 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, this turned out to be the case. The overall methodology may find uses for the classification of data from other biological networking problems. © 2017 The Author(s).
Journal Title: Scientific Reports
Volume: 7
ISSN: 2045-2322
Publisher: Nature Publishing Group  
Date Published: 2017-08-01
Start Page: 7035
Language: English
DOI: 10.1038/s41598-017-07551-8
PROVIDER: scopus
PMCID: PMC5539155
PUBMED: 28765612
DOI/URL:
Notes: Article -- Export Date: 5 September 2017 -- Source: Scopus
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MSK Authors
  1. Joseph Owen Deasy
    492 Deasy
  2. Andrew L Kung
    84 Kung
  3. Yongxin Chen
    7 Chen