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Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer.
Singha, Manali; Pu, Limeng; Srivastava, Gopal; Ni, Xialong; Stanfield, Brent A; Uche, Ifeanyi K; Rider, Paul J F; Kousoulas, Konstantin G; Ramanujam, J; Brylinski, Michal.
Afiliação
  • Singha M; Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Pu L; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Srivastava G; Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Ni X; Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Stanfield BA; Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Uche IK; Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Rider PJF; Division of Biotechnology and Molecular Medicine, Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Kousoulas KG; School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
  • Ramanujam J; Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA.
  • Brylinski M; Division of Biotechnology and Molecular Medicine, Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA.
Cancers (Basel) ; 15(16)2023 Aug 10.
Article em En | MEDLINE | ID: mdl-37627077
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos