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Table 17 model A tree of the classification model for full training set, obtained by the execution of Random Forest on DNA methylation data of Breast Invasive Carcinoma

From: Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction

DNM2_dnaMeth <3.68
CRYAB_dnaMeth <2.01
AUNIP_dnaMeth <1.51 : tumoral (27/0)
AUNIP_dnaMeth ≥1.51
NPY_dnaMeth <4.85
SACM1L_dnaMeth <2.65
LINC00336_dnaMeth <4.05 : tumoral (2/0)
LINC00336_dnaMeth ≥4.05 : normal (8/0)
SACM1L_dnaMeth ≥2.65 : normal (76/0)
NPY_dnaMeth ≥4.85
PLEKHM2_dnaMeth <20.49 : tumoral (9/0)
PLEKHM2_dnaMeth ≥20.49 : normal (5/0)
CRYAB_dnaMeth ≥2.01 : tumoral (114/0)
DNM2_dnaMeth ≥3.68
SPRYD4_dnaMeth <1.3 DAP3_dnaMeth <2.21
MYOG_dnaMeth <11.05 : tumoral (646/0)
MYOG_dnaMeth ≥11.05
GMEB2_dnaMeth <9.57 : tumoral (1/0)
GMEB2_dnaMeth ≥9.57 : normal (1/0)
DAP3_dnaMeth ≥2.21 : normal (1/0)
SPRYD4_dnaMeth ≥1.3
LBX1-AS1_dnaMeth <10.63 : normal (5/0)
LBX1-AS1_dnaMeth ≥10.63 : tumoral (2/0)
Size of the tree: 25
  1. The full output is composed by 30 trees with different sizes with multiple leaves containing also the total weight of instances