Fan, JeanSalathia, NeerajLiu, RuiKaeser, Gwendolyn E.Yung, Yun C.Herman, Joseph L.Kaper, FionaFan, Jian-BingZhang, KunChun, JeroldKharchenko, Peter2016-08-092016Fan, J., N. Salathia, R. Liu, G. E. Kaeser, Y. C. Yung, J. L. Herman, F. Kaper, et al. 2016. “Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis.” Nature methods 13 (3): 241-244. doi:10.1038/nmeth.3734. http://dx.doi.org/10.1038/nmeth.3734.1548-7091http://nrs.harvard.edu/urn-3:HUL.InstRepos:27822282The transcriptional state of a cell reflects a variety of biological factors, from persistent cell-type specific features to transient processes such as cell cycle. Depending on biological context, all such aspects of transcriptional heterogeneity may be of interest, but detecting them from noisy single-cell RNA-seq data remains challenging. We developed PAGODA to resolve multiple, potentially overlapping aspects of transcriptional heterogeneity by testing gene sets for coordinated variability amongst measured cells.en-USJournal Article2016-08-0910.1038/nmeth.3734