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Machine learning and bioinformatics analysis revealed classification and potential treatment strategy in stage 3-4 NSCLC patients.
Li, Chang; Tian, Chen; Zeng, Yulan; Liang, Jinyan; Yang, Qifan; Gu, Feifei; Hu, Yue; Liu, Li.
Afiliación
  • Li C; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Tian C; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Zeng Y; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Liang J; Department of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Yang Q; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Gu F; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
  • Hu Y; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. huyue_cmu@126.com.
  • Liu L; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. liulist2013@163.com.
BMC Med Genomics ; 15(1): 33, 2022 02 22.
Article en En | MEDLINE | ID: mdl-35193578
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biología Computacional / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido