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Table 1 Biological function enrichment analysis and transcription factor association analysis.[]

From: Semi-supervised gene shaving method for predicting low variation biological pathways from genome-wide data

Gene Set

Size

GO Annotation

Transcription Factors

WNT

45

embryonic development (1.13E-04)

MyoG_Myotubes (9.47E-03) [24]

  

cytosol (9.15E-06)

MyoD_Growing cells (1.99E-05) [24]

  

cytosolic part (4.48E-08)

 
  

iron ion binding (3.92E-06)

 
  

tube development (3.86E-04)

 
  

branching morphogenesis of a tube (9.88E-06)

 
  

tube morphogenesis (7.26E-05)

 
  

patterning of blood vessels (3.57E-05)

 
  

embryonic pattern specification (1.11E-04)

 
  

oxygen binding (6.89E-14)

 
  

gas transport (4.60E-14)

 
  

hemoglobin complex (1.12E-14)

 

NOTCH

36

developmental maturation (3.86E-04)

MyoG_Myotubes (9.47E-03) [24]

  

negative regulation of cell differentiation (3.01E-04)

MyoD_Growing cells (1.99E-05) [24]

  

ectoderm development (1.91E-05)

 
  

cell maturation (1.94E-04)

 
  

tissue morphogenesis (1.12E-05)

 
  

epidermis morphogenesis (2.00E-06)

 
  

hair cell differentiation (5.26E-06)

 
  

mechanoreceptor differentiation (7.56E-06)

 
  

negative regulation of neuron differentiation (3.49E-06)

 
  

regulation of neuron differentiation (3.93E-05)

 
  

cell fate determination (9.65E-06)

 
  

auditory receptor cell fate commitment (3.78E-08)

 
  1. The third column contains biological functions significantly enriched in WNT and NOTCH pathways, and the fourth column contains transcription factors significantly associated with WNT and NOTCH pathways. The analysis was done through the web-server of the Segal lab: [23]