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A Knowledge-Based Discovery Approach Couples Artificial Neural Networks With Weight Engineering to Uncover Immune-Related Processes Underpinning Clinical Traits of Breast Cancer.
Zhang, Cheng; Correia, Cristina; Weiskittel, Taylor M; Tan, Shyang Hong; Meng-Lin, Kevin; Yu, Grace T; Yao, Jingwen; Yeo, Kok Siong; Zhu, Shizhen; Ung, Choong Yong; Li, Hu.
Afiliación
  • Zhang C; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Correia C; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Weiskittel TM; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Tan SH; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Meng-Lin K; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Yu GT; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Yao J; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Yeo KS; Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Zhu S; Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Ung CY; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
  • Li H; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine and Science, Rochester, MN, United States.
Front Immunol ; 13: 920669, 2022.
Article en En | MEDLINE | ID: mdl-35911770
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Descubrimiento del Conocimiento Límite: Female / Humans Idioma: En Revista: Front Immunol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Descubrimiento del Conocimiento Límite: Female / Humans Idioma: En Revista: Front Immunol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos