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Table 2 Scenarios of missingness for the NCI-60 data analysis

From: Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework

Number of missing rows
Cell line Transcriptome Proteome # cases
Breast 1 0 5
CNS 1 1 60
Colon 2 0 42
Lung 2 2 3024
Leukemia 1 1 60
Melanoma 2 2 5040
Ovarian 1 1 84
Prostate 0 0 //
Renal 2 1 504
  1. Number of missing rows inserted in each stratum (cell line type) of the original dataset, including both transcriptomic and proteomic data, for incomplete data creation. The # cases indicate the number of possibilities of incomplete cases per stratum