Table 3(continued)Method
Level of omics
Biological purpose
Mutation mRNA miRNA Modification Protein Metabolite Network Annotation
“Semi-supervised
normalizationpipelines” [
100
]
✓✓✓✓✓
Training predictive cell models based on
integrated data sources
“Integrative
computationalpipeline” [
97
]
✓✓✓
Dissecting the transcription factors (TFs)
responsible for altered miRNAexpression
“Data-driven
discovery” [
95
]
✓✓
Data-driven discovery of pain gene
candidates
“Layers of
regulation” [
99
]
✓✓
Adaptive mechanisms include
posttranscriptional andposttranslational events
pRSEM [
96
]
✓✓
Estimating relative isoform abundances
SPIA [
94
]
✓✓
Pan-cancer analysis on pathways
118 Xiang-Tian Yu and Tao Zeng