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A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics.
Li, Haoyang; Zhou, Juexiao; Li, Zhongxiao; Chen, Siyuan; Liao, Xingyu; Zhang, Bin; Zhang, Ruochi; Wang, Yu; Sun, Shiwei; Gao, Xin.
Afiliación
  • Li H; Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Zhou J; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Li Z; Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Chen S; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Liao X; Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Zhang B; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Zhang R; Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Wang Y; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Sun S; Computational Bioscience Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Gao X; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Nat Commun ; 14(1): 1548, 2023 03 21.
Article en En | MEDLINE | ID: mdl-36941264
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Benchmarking / Transcriptoma Tipo de estudio: Guideline Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita
Texto completo
Imprimir
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Benchmarking / Transcriptoma Tipo de estudio: Guideline Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita