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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
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BMC Bioinformatics

ISSN: 1471-2105

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