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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Sparad:
Bibliografiska uppgifter
I publikationen:Brief Bioinform
Huvudupphovsmän: Lu, Xiaoyu, Tu, Szu-Wei, Chang, Wennan, Wan, Changlin, Wang, Jiashi, Zang, Yong, Ramdas, Baskar, Kapur, Reuben, Lu, Xiongbin, Cao, Sha, Zhang, Chi
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2020
Ämnen:
Problem Solving Protocol
Länkar: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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