A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations

A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations

The discovery of cancer of unknown primary (CUP) is of great significance in designing more effective treatments and improving the diagnostic efficiency in cancer patients. In the study, we develop an appropriate machine learning model for tracing the tissue of origin of CUP with high accuracy after...

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Bibliographic Details
Main Authors: Yulin Zhang, Tong Feng, Shudong Wang, Ruyi Dong, Jialiang Yang, Jionglong Su, Bo Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Genetics
Subjects:
tissue-of-origin
copy number variations
multiclass
XGBoost
extremely randomized tree
principal component analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.585029/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2020.585029/full

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