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Dataset.

Supplementary Materials: SigPrimedNet: a Signaling-informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340573
Digital.CSIC. Repositorio Institucional del CSIC
  • Gundogdu, Pelin
  • Alamo-Alvarez, Inmaculada
  • Nepomuceno-Chamorro, Isabel A.
  • Dopazo, Joaquín
  • Loucera, Carlos
9 pages. -- Encoding visualization. -- Figure S1-S14. -- Table S1. Cell type, number of samples detail, and percentage of samples above or below the encoding-based threshold of Melanoma dataset during the testing phase., Peer reviewed
 
DOI: http://hdl.handle.net/10261/340573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340573

HANDLE: http://hdl.handle.net/10261/340573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340573
 
Ver en: http://hdl.handle.net/10261/340573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340573
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340573
Dataset. 2023

SUPPLEMENTARY MATERIALS: SIGPRIMEDNET: A SIGNALING-INFORMED NEURAL NETWORK FOR SCRNA-SEQ ANNOTATION OF KNOWN AND UNKNOWN CELL TYPES

Digital.CSIC. Repositorio Institucional del CSIC
  • Gundogdu, Pelin
  • Alamo-Alvarez, Inmaculada
  • Nepomuceno-Chamorro, Isabel A.
  • Dopazo, Joaquín
  • Loucera, Carlos
9 pages. -- Encoding visualization. -- Figure S1-S14. -- Table S1. Cell type, number of samples detail, and percentage of samples above or below the encoding-based threshold of Melanoma dataset during the testing phase., Peer reviewed

HANDLE: http://hdl.handle.net/10261/340573


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