Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma

Early diagnosis significantly improves the probability of successful cancer therapy. Here, the authors develop a technique to analyse serum metabolites and define a biomarker panel for early-stage lung adenocarcinoma diagnosis.

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Autores principales:	Lin Huang, Lin Wang, Xiaomeng Hu, Sen Chen, Yunwen Tao, Haiyang Su, Jing Yang, Wei Xu, Vadanasundari Vedarethinam, Shu Wu, Bin Liu, Xinze Wan, Jiatao Lou, Qian Wang, Kun Qian
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7e618f992e38463d938f7eb7b11cb0cc
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spelling	oai:doaj.org-article:7e618f992e38463d938f7eb7b11cb0cc2021-12-02T18:31:30ZMachine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma10.1038/s41467-020-17347-62041-1723https://doaj.org/article/7e618f992e38463d938f7eb7b11cb0cc2020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17347-6https://doaj.org/toc/2041-1723Early diagnosis significantly improves the probability of successful cancer therapy. Here, the authors develop a technique to analyse serum metabolites and define a biomarker panel for early-stage lung adenocarcinoma diagnosis.Lin HuangLin WangXiaomeng HuSen ChenYunwen TaoHaiyang SuJing YangWei XuVadanasundari VedarethinamShu WuBin LiuXinze WanJiatao LouQian WangKun QianNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Lin Huang Lin Wang Xiaomeng Hu Sen Chen Yunwen Tao Haiyang Su Jing Yang Wei Xu Vadanasundari Vedarethinam Shu Wu Bin Liu Xinze Wan Jiatao Lou Qian Wang Kun Qian Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
description	Early diagnosis significantly improves the probability of successful cancer therapy. Here, the authors develop a technique to analyse serum metabolites and define a biomarker panel for early-stage lung adenocarcinoma diagnosis.
format	article
author	Lin Huang Lin Wang Xiaomeng Hu Sen Chen Yunwen Tao Haiyang Su Jing Yang Wei Xu Vadanasundari Vedarethinam Shu Wu Bin Liu Xinze Wan Jiatao Lou Qian Wang Kun Qian
author_facet	Lin Huang Lin Wang Xiaomeng Hu Sen Chen Yunwen Tao Haiyang Su Jing Yang Wei Xu Vadanasundari Vedarethinam Shu Wu Bin Liu Xinze Wan Jiatao Lou Qian Wang Kun Qian
author_sort	Lin Huang
title	Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
title_short	Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
title_full	Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
title_fullStr	Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
title_full_unstemmed	Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
title_sort	machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/7e618f992e38463d938f7eb7b11cb0cc
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Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma

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