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scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics

Single-cell omics is the fastest-growing type of genomics data in the literature and public genomics repositories. Leveraging the growing repository of labeled datasets and transferring labels from existing datasets to newly generated datasets will empower the exploration of single-cell omics data....

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Detalles Bibliográficos
Autores principales: Song, Qianqian, Su, Jing, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219725/
https://www.ncbi.nlm.nih.gov/pubmed/34158507
http://dx.doi.org/10.1038/s41467-021-24172-y