文章基本信息

标题：Predicting host immune cell dynamics using tissue gene expression
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作者：Muying Wang ; Satoshi Fukuyama ; Yoshihiro Kawaoka 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：19
页码：5-6
DOI：10.1016/j.ifacol.2018.09.005
语种：English
出版社：Elsevier
摘要：AbstractImmune cell dynamics are critical to disease pathology. Deconvolution algorithms attempt to predict cell quantities based on gene expression profiles derived from diseased tissue and are evaluated using artificial or simple samples. We tested their capability of estimating cell counts given data from influenza-infected lung sampled over time post infection. Our findings suggest that current methods must be improved in order to characterize disease-associated immune cell dynamics.
关键词：KeywordsCell quantitiesDeconvolutionImmune cell dynamicsInfluenza infectionImmune responses