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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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| Publicat a: | Brief Bioinform |
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| Autors principals: | , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2020
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| Matèries: | |
| Accés en línia: | 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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