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. Author manuscript; available in PMC: 2022 May 6.
Published in final edited form as: Nat Mach Intell. 2022 Mar 21;4(3):288–299. doi: 10.1038/s42256-022-00455-x

Figure 6: Application of Ocelot to impute missing entries and complete the ENCODE3 histone mark dataset.

Figure 6:

The ENCODE3 histone mark dataset covers 13 histone marks in 79 cell and tissue conditions, including primary tissues (n=36), primary cells (n=6), cell lines (n=28) and in vitro differentiated cells (n=9). A total of 500 (48.69%) whole-genome profiles were observed (blue blocks) and used to build machine learning models. Then we imputed the remaining 527 (51.31%) profiles (red blocks).