Figure2
收藏NIAID Data Ecosystem2026-03-12 收录
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https://figshare.com/articles/dataset/Figure2/16651780
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资源简介：
Data used to build figure 2: Assignment of cell line type to clusters generated with Seurat, implemented in rCASC. A) RNA-5c clustering, five clusters generated with Seurat (resolution=0.1), using 2500 genes seected as the most variant within the 5000 most expressed (rCASC topx function). . B) RNA-3c clustering, four clusters generated with Seurat (resolution=0.1), using the 2500 genes selected for RNA-5c. C) RNA-5c hierarchical clustering (Euclidean distance, average linkage) of log2 CPM clusters’ pseudo-bulk expression (rCASC bulkClusters function), row-mean centered, and CCLE lung cell lines A449, NCIH838, NCIH2228, NCIH1975 and HCC827 log2 TPM row-mean centered. D) RNA-3c hierarchical clustering (Euclidean distance, average linkage) of log2 CPM clusters’ pseudo-bulk expression (rCASC bulkClusters function), row-mean centered, and CCLE lung cell lines A449, NCIH838, NCIH2228, NCIH1975 and HCC827 log2 TPM row-mean centered.
Figure 2Asomewhere_in_your_computer/fig2/RNA2500-5c/VandE/Results_0.1/VandE/5/VandE_Stability_Plot.pdf
Figure 2Bsomewhere_in_your_computer/fig2/RNA2500-3c/VandE/Results/VandE/4/VandE_Stability_Plot.pdf
创建时间：
2021-09-27
