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Using machine learning to identify gene interaction networks associated with breast cancer.
Liu, Liyuan; Zhai, Wenli; Wang, Fei; Yu, Lixiang; Zhou, Fei; Xiang, Yujuan; Huang, Shuya; Zheng, Chao; Yuan, Zhongshang; He, Yong; Yu, Zhigang; Ji, Jiadong.
Afiliação
  • Liu L; Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.
  • Zhai W; School of Mathematics, Shandong University, Jinan, 250100, China.
  • Wang F; Institute for Financial Studies, Shandong University, Jinan, 250100, China.
  • Yu L; Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.
  • Zhou F; Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China.
  • Xiang Y; Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.
  • Huang S; Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China.
  • Zheng C; Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.
  • Yuan Z; Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China.
  • He Y; Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.
  • Yu Z; Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong University, Jinan, 250100, China.
  • Ji J; Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, 250033, Jinan, China.
BMC Cancer ; 22(1): 1070, 2022 Oct 17.
Article em En | MEDLINE | ID: mdl-36253742
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article