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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1 Versiones
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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
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