The most significant GO terms and p-values for each of the five modules.

The most significant GO terms and p-values for each of the five modules.

<p>The most significant GO terms and p-values for each of the five modules.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Zongjin Li (38031) (author)
مؤلفون آخرون: Liqin Tian (802035) (author), Libing Bai (20614186) (author), Zeyu Jia (12438600) (author), Xiaoming Wu (388718) (author), Changxin Song (20614189) (author)
منشور في: 2025
الموضوعات:
Microbiology
Cell Biology
Genetics
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
supervised learning ideas
small sample size
loss function based
high feature dimensionality
critical risk factor
gene module detection
xlink "> hypertension
algorithm &# 8217
obtaining hypertension biomarkers
gene expression data
gene biomarkers
gene node
preventing hypertension
validation dataset
using gse113439
significantly differentiated
significantly different
significant advantages
reach 97
proposed algorithm
posing challenges
literature methods
link prediction
interaction information
important source
graph network
gnn model
experiment revealed
comparative methods
cardiovascular diseases
biological significance
algorithm utilizes
50 %,
45 %,
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