Glycosylation-Related Genes Predict the Prognosis and Immune Fraction of Ovarian Cancer Patients Based on Weighted Gene Coexpression Network Analysis (WGCNA) and Machine Learning
Table 2
The quantified importance of prognostic glycosylation-related messenger RNAs by machine learning.
LASSO
Ridge
XGBoost
Random forest
AdaBoost
ALG8
0.255 (3)
0.276 (3)
95 (8)
0.108 (6)
0.088 (5)
CSNK1D
0.025 (8)
0.065 (8)
112 (5)
0.141 (1)
0.225 (1)
DCTN4
0.587 (1)
0.609 (1)
120 (3)
0.113 (5)
0.169 (2)
DCTN6
0.406 (2)
0.442 (2)
100 (7)
0.139 (2)
0.161 (3)
F8
0.108 (6)
0.124 (6)
114 (4)
0.117 (3)
0.125 (4)
FUCA1
0.113 (5)
0.134 (5)
88 (9)
0.090 (8)
0.027 (9)
NAPG
0.177 (4)
0.217 (4)
135 (2)
0.076 (9)
0.086 (6)
UBA1
0.022 (9)
0.061 (9)
148 (1)
0.101 (7)
0.069 (7)
UBB
0.089 (7)
0.092 (7)
106 (6)
0.115 (4)
0.049 (8)
The number in the parentheses represented the rankings of weight.
