Machine learning based tissue analysis reveals Brachyury has a diagnosis value in breast cancer | Zendy

Kaichun Li | Zendy; Qiaoyun Wang | Zendy; Yanyan Lu | Zendy; Xiaorong Pan | Zendy; Long Liu | Zendy; Shiyu Cheng | Zendy; Bingxiang Wu | Zendy; Zongchang Song | Zendy; Wei Gao | Zendy

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Machine learning based tissue analysis reveals Brachyury has a diagnosis value in breast cancer

Author(s) -

Kaichun Li,

Qiaoyun Wang,

Yanyan Lu,

Xiaorong Pan,

Long Liu,

Shiyu Cheng,

Bingxiang Wu,

Zongchang Song,

Wei Gao

Publication year - 2021

Publication title -

bioscience reports

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.938

H-Index - 77

eISSN - 1573-4935

pISSN - 0144-8463

DOI - 10.1042/bsr20203391

Subject(s) - brachyury , breast cancer , logistic regression , decision tree , artificial intelligence , machine learning , random forest , receiver operating characteristic , cancer , oncology , multivariate analysis , computer science , medicine , biology , biochemistry , embryonic stem cell , mesoderm , gene

The aim of the present study was to confirm the role of Brachyury in breast cancer and to verify whether four types of machine learning models can use Brachyury expression to predict the survival of patients.

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