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Biomedical and Clinical Sciences
Oncology and Carcinogenesis
Predictive and prognostic markers
[Identification of breast cancer subtypes based on graph convolutional network]

[Identification of breast cancer subtypes based on graph convolutional network]

Yishuai An ¹, Xiaojun Liu ¹, Hengling Chen ¹, Guihong Wan ²

Yishuai An ¹, Xiaojun Liu ¹, Hengling Chen ¹

¹School of Biomedical Engineering, South-Central Minzu University, Wuhan 430074, P. R. China.
²Department of Dermatology, Massachusetts General Hospital, Harvard University, Boston 02138, USA.

⁰School of Biomedical Engineering, South-Central Minzu University, Wuhan 430074, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi +

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February 25, 2024

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February 25, 2024

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View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces a novel deep learning model for classifying breast cancer molecular subtypes, improving accuracy by considering gene interactions. The advanced model offers a reliable tool for precise cancer diagnosis and personalized treatment strategies.

Area Of Science

Oncology
Bioinformatics
Artificial Intelligence

Keywords:

Breast cancer Deep learning Graph convolutional network Subtype classification

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