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Table 5 The weights of the genomic, epigenomic, and transcriptomic variables extracted by msPLS from CLL data sources

From: Multiset sparse partial least squares path modeling for high dimensional omics data analysis

Genomic variables Epigenomic variables Transcriptomic variables
Name w Site w Gene code w
del11q22.3 0.31 cg06369076 0.036 ADAM29 0.046
del17p13 0.16 cg22449085 0.036 AGPAT4 0.043
BRAF 0.17 cg12208353 0.036 ANK2 0.047
TP53 0.21 cg04694619 0.037 CRY1 0.049
IGHV -0.66 cg20782816 0.038 DNAH3 0.046
   cg00832703 0.037 ENO4 -0.041
   cg01399475 -0.036 ESPNL 0.043
   cg21398469 0.037 GFI1 0.045
   cg11181763 0.036 GLDN 0.044
   cg01360627 0.036 ITPRIPL2 0.040
   cg09087901 0.036 KANK2 0.047
   cg04848693 0.037 L3MBTL4 0.049
   cg12522599 0.038 LDOC1 0.041
   cg11090458 0.037 LPL 0.041
   cg00148025 0.038 MAPK4 -0.040
   cg12032915 0.036 MRO 0.043
   cg07629149 0.039 MSI2 0.046
   cg23844018 0.037 NDUFA4L2 0.042
   cg05213414 0.037 NUGGC 0.041
   cg01928411 0.037 PLD1 0.043
   cg07699978 0.036 PON1 0.042
   cg03035162 0.036 PRR18 -0.044
   cg03462096 0.039 SEPT10 -0.040
   cg08171667 0.036 SOWAHC 0.041
   cg26441291 0.038 TP63 0.043
   cg21400896 0.037 USP6NL -0.040
   cg15236196 0.036 VSIG10 0.042
   cg21394039 0.038 ZNF135 -0.040
   cg04613057 0.036 ZNF471 -0.042
   cg08496123 0.036 ZNF667 0.041