Validation of Immune Cell Modules in Multicellular Transcriptomic Data.

Validation of Immune Cell Modules in Multicellular Transcriptomic Data.
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DOI:
10.1371/journal.pone.0169271
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发表时间:
2017
期刊:
影响因子:
3.7
通讯作者:
Noursadeghi M
Noursadeghi M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Pollara G;Murray MJ;Heather JM;Byng-Maddick R;Guppy N;Ellis M;Turner CT;Chain BM;Noursadeghi M

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Numerous gene signatures, or modules have been described to evaluate the immune cell composition in transcriptomes of multicellular tissue samples. However, significant diversity in module gene content for specific cell types is associated with heterogeneity in their performance. In order to rank modules that best reflect their purported association, we have generated the modular discrimination index (MDI) score that assesses expression of each module in the target cell type relative to other cells. We demonstrate that MDI scores predict modules that best reflect independently validated differences in cellular composition, and correlate with the covariance between cell numbers and module expression in human blood and tissue samples. Our analyses demonstrate that MDI scores provide an ordinal summary statistic that reliably ranks the accuracy of gene expression modules for deconvolution of cell type abundance in transcriptional data.
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