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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