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SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data
Deconvolution of mouse transcriptomic data is challenged by the fact that mouse models carry various genetic and physiological perturbations, making it questionable to assume fixed cell types and cell type marker genes for different data set scenarios. We developed a Semi-Supervised Mouse data Decon...
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| Publicado no: | Brief Bioinform |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8294548/ https://ncbi.nlm.nih.gov/pubmed/33230549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbaa307 |
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