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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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Detalhes bibliográficos
Publicado no:Brief Bioinform
Main Authors: Lu, Xiaoyu, Tu, Szu-Wei, Chang, Wennan, Wan, Changlin, Wang, Jiashi, Zang, Yong, Ramdas, Baskar, Kapur, Reuben, Lu, Xiongbin, Cao, Sha, Zhang, Chi
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
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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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