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Table 3 Summary of select high-weight MOFA features with high loadings on latent variables generated in at least two out of three alternative data integration methods

From: Multi-omic latent variable data integration reveals multicellular structure pathways associated with resistance to tuberculin skin test (TST)/interferon gamma release assay (IGRA) conversion in Uganda

MOFA factor

Dataset (% variance explained on factor)

Number of select MOFA features

Number of features also identified in 2/3 non-MOFA methods (%)

Number of unique protein coding HGNC symbols

Factor 1

RNA Mtb (50%)

177

41 (23%)

40

RNA media (48%)

169

84 (50%)

83

Total (98%)

346

113 (32%)

111

Factor 2

ATAC-seq (98%)

605

132 (22%)

94

Factor 3

Methylation (91%)

1198

372 (31%)

345

SNP (6%)

94

77 (82%)

35

Total (97%)

1292

449 (35%)

379

Factor 4

SNP (59%)

973

334 (34%)

173

Methylation (19%)

249

114 (46%)

106

RNA Mtb (11%)

40

22 (55%)

20

ATAC-seq (7%)

41

13 (32%)

11

Total (96%)

1303

483 (37%)

307