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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Detalles Bibliográficos
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
Descripción
Sumario: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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