Predicting Cancer Tissue-of-Origin by a Machine Learning Method Using DNA Somatic Mutation Data

Predicting Cancer Tissue-of-Origin by a Machine Learning Method Using DNA Somatic Mutation Data

Patients with carcinoma of unknown primary (CUP) account for 3–5% of all cancer cases. A large number of metastatic cancers require further diagnosis to determine their tissue of origin. However, diagnosis of CUP and identification of its primary site are challenging. Previous studies have suggested...

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Bibliographic Details
Main Authors: Xiaojun Liu, Lianxing Li, Lihong Peng, Bo Wang, Jidong Lang, Qingqing Lu, Xizhe Zhang, Yi Sun, Geng Tian, Huajun Zhang, Liqian Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Genetics
Subjects:
somatic mutation
machine learning
random forest
patients with carcinoma of unknown primary
tissue of origin
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00674/full

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https://www.frontiersin.org/article/10.3389/fgene.2020.00674/full

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