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Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cells

The stochastic nature of generating eukaryotic transcripts challenges conventional methods for obtaining and analyzing single-cell gene expression data. In order to address the inherent noise, detailed methods are described on how to collect data on multiple genes in a large number of single cells u...

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書誌詳細
主要な著者: Livak, Kenneth J., Wills, Quin F., Tipping, Alex J., Datta, Krishnalekha, Mittal, Rowena, Goldson, Andrew J., Sexton, Darren W., Holmes, Chris C.
フォーマット: Artigo
言語:Inglês
出版事項: Academic Press 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3562442/
https://ncbi.nlm.nih.gov/pubmed/23079396
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ymeth.2012.10.004
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