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儿科肉瘤数据通过大地移动距离形成独特的聚类。

Pediatric Sarcoma Data Forms a Unique Cluster Measured via the Earth Mover's Distance.

机构信息

Memorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, 10064, USA.

Memorial Sloan Kettering Cancer Center, Department of Pediatrics, New York, 10064, USA.

出版信息

Sci Rep. 2017 Aug 1;7(1):7035. doi: 10.1038/s41598-017-07551-8.

DOI:10.1038/s41598-017-07551-8
PMID:28765612
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5539155/
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.

摘要

在本注释中，我们将哥伦比亚大学的儿科肉瘤数据与 TCGA 收集的成人肉瘤数据相结合，以观察是否可以在组合数据集自动辨别出一个独特的儿科簇。使用基于最优传输理论的新型聚类管道，事实证明可以做到这一点。该整体方法可能对来自其他生物网络问题的数据分类有用。

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2
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J Natl Cancer Inst. 2016 Aug 30;108(12). doi: 10.1093/jnci/djw182. Print 2016 Dec.
3
Alveolar Soft Part Sarcoma.
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4
vWCluster: Vector-valued optimal transport for network based clustering using multi-omics data in breast cancer.vWCluster：基于网络的乳腺癌多组学数据聚类的向量值最优传输。
PLoS One. 2022 Mar 14;17(3):e0265150. doi: 10.1371/journal.pone.0265150. eCollection 2022.
5
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6
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7
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8
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4
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5
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6
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