Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis
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DOI：
10.1101/026948
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发表时间：
2015-09
期刊：
影响因子：
48
通讯作者：
Jean Fan;N. Salathia;R. Liu;Gwendolyn E. Kaeser;Y. Yung;Joseph L. Herman;F. Kaper;Jian-Bing Fan
中科院分区：
文献类型：
--
作者：
Jean Fan;N. Salathia;R. Liu;Gwendolyn E. Kaeser;Y. Yung;Joseph L. Herman;F. Kaper;Jian-Bing Fan
细胞的转录状态反映了多种生物因素，从细胞类型特异性特征到细胞周期等短暂过程，所有这些都可能是我们感兴趣的。然而，从嘈杂的单细胞RNA-seq数据中识别这些方面仍然具有挑战性。我们开发了途径和基因集过分散分析（PAGODA），通过测试基因集在被测细胞之间的协调变异性来解决转录异质性的多个潜在重叠方面。
The transcriptional state of a cell reflects a variety of biological factors, from cell-type-specific features to transient processes such as the cell cycle, all of which may be of interest. However, identifying such aspects from noisy single-cell RNA-seq data remains challenging. We developed pathway and gene set overdispersion analysis (PAGODA) to resolve multiple, potentially overlapping aspects of transcriptional heterogeneity by testing gene sets for coordinated variability among measured cells.