RT Journal Article SR Electronic T1 Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover’s Distance JF bioRxiv FD Cold Spring Harbor Laboratory SP 116384 DO 10.1101/116384 A1 Yongxin Chen A1 Filemon Dela Cruz A1 Romeil Sandhu A1 Andrew Kung A1 Prabhjot Mundi A1 Joseph Deasy A1 Allen Tannenbaum YR 2017 UL http://biorxiv.org/content/early/2017/03/13/116384.abstract AB 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.