Skip to main content
. Author manuscript; available in PMC: 2017 Sep 27.
Published in final edited form as: Nat Methods. 2017 Mar 27;14(5):483–486. doi: 10.1038/nmeth.4236

Figure 1. The SC3 framework for consensus clustering.

Figure 1

(a) Overview of clustering with SC3 framework (see Methods). The consensus step is exemplified using the Treutlein data. (b) Published datasets used to set SC3 parameters. N is the number of cells in a dataset; k is the number of clusters originally identified by the authors; Units: RPKM is Reads Per Kilobase of transcript per Million mapped reads, RPM is Reads Per Million mapped reads, FPKM is Fragments Per Kilobase of transcript per Million mapped reads, TPM is Transcripts Per Million mapped reads. (c) Histogram of the d values where ARI>.95 is achieved for the gold standard datasets. The black vertical lines indicate the interval d = 4-7% of the total number of cells N, showing high accuracy in the classification. (d) 100 realizations of the SC3 clustering of the datasets shown in (b). Dots represent individual clustering runs. Bars correspond to the median of the dots. Red and grey colours correspond to clustering with and without consensus step. The black line corresponds to ARI=0.8. The dashed black line separates gold and silver standard datasets.