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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 variablesEpigenomic variablesTranscriptomic variables
NamewSitewGene codew
del11q22.30.31cg063690760.036ADAM290.046
del17p130.16cg224490850.036AGPAT40.043
BRAF0.17cg122083530.036ANK20.047
TP530.21cg046946190.037CRY10.049
IGHV-0.66cg207828160.038DNAH30.046
  cg008327030.037ENO4-0.041
  cg01399475-0.036ESPNL0.043
  cg213984690.037GFI10.045
  cg111817630.036GLDN0.044
  cg013606270.036ITPRIPL20.040
  cg090879010.036KANK20.047
  cg048486930.037L3MBTL40.049
  cg125225990.038LDOC10.041
  cg110904580.037LPL0.041
  cg001480250.038MAPK4-0.040
  cg120329150.036MRO0.043
  cg076291490.039MSI20.046
  cg238440180.037NDUFA4L20.042
  cg052134140.037NUGGC0.041
  cg019284110.037PLD10.043
  cg076999780.036PON10.042
  cg030351620.036PRR18-0.044
  cg034620960.039SEPT10-0.040
  cg081716670.036SOWAHC0.041
  cg264412910.038TP630.043
  cg214008960.037USP6NL-0.040
  cg152361960.036VSIG100.042
  cg213940390.038ZNF135-0.040
  cg046130570.036ZNF471-0.042
  cg084961230.036ZNF6670.041
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