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Sub-Cluster Identification through Semi-Supervised Optimization of Rare-Cell Silhouettes (SCISSORS) in single-cell RNA-sequencing.
Leary, Jack R; Xu, Yi; Morrison, Ashley B; Jin, Chong; Shen, Emily C; Kuhlers, Peyton C; Su, Ye; Rashid, Naim U; Yeh, Jen Jen; Peng, Xianlu Laura.
Afiliación
  • Leary JR; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Xu Y; Department of Biostatistics, University of Florida, Gainesville, FL 32603, United States.
  • Morrison AB; Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Jin C; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Shen EC; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Kuhlers PC; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Su Y; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Rashid NU; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Yeh JJ; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
  • Peng XL; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Bioinformatics ; 39(8)2023 08 01.
Article en En | MEDLINE | ID: mdl-37498558
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Perfilación de la Expresión Génica Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido