Journal
SCIENTIFIC REPORTS
Volume 7, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-017-07551-8
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Funding
- AFOSR [FA9550-15-1-0045, FA9550-17-1-0435]
- National Center for Research Resources [P41- RR-013218]
- National Institute of Biomedical Imaging and Bioengineering [P41-EB-015902]
- National Institutes of Health [1U24CA18092401A1]
- Memorial Sloan Kettering Cancer Center
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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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