4. Azizi E, Carr AJ, Plitas G, Cornish AE, Konopacki C, Prabhakaran S,
et al. Single-cell map of diverse immune phenotypes in the breast tumor microenvironment. Cell 2018;174:1293–1308.
6. Patel AP, Tirosh I, Trombetta JJ, Shalek AK, Gillespie SM, Wakimoto H,
et al. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science 2014;344:1396–1401.
9. Skelly DA, Squiers GT, McLellan MA, Bolisetty MT, Robson P, Rosenthal NA,
et al. Single-cell transcriptional profiling reveals cellular diversity and intercommunication in the mouse heart. Cell Rep 2018;22:600–610.
13. Janky R, Verfaillie A, Imrichova H, Van de Sande B, Standaert L, Christiaens V,
et al. iRegulon: from a gene list to a gene regulatory network using large motif and track collections. PLoS Comput Biol 2014;10:e1003731.
14. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S,
et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 2013;29:15–21.
16. Jackson SH, Yu CR, Mahdi RM, Ebong S, Egwuagu CE. Dendritic cell maturation requires STAT1 and is under feedback regulation by suppressors of cytokine signaling. J Immunol 2004;172:2307–2315.
17. Bornstein C, Winter D, Barnett-Itzhaki Z, David E, Kadri S, Garber M,
et al. A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin States. Mol Cell 2014;56:749–762.
18. Prabhakaran S, Azizi E, Carr A, Pe'er D. Dirichlet process mixture model for correcting technical variation in single-cell gene expression data. JMLR Workshop Conf Proc 2016;48:1070–1079.