Skip to main content

Table 2 The top 5 important molecules identified by each machine learning algorithm

From: Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma

Molecule

rank

Weak classifiers

Strong classifiers

LR

SVM

ANN

RF

XGBoost

1

CD44

CD44

SFN

SFN

SFN

2

RAC3

TRAM1

CCND1

PTGS2

PIK3CA

3

TP53

SFN

CD44

MDM2

CD44

4

EGFR

PTGS2

PTGS2

PIK3CA

VEGFA

5

SFN

VEGFA

MDM2

RAC3

PTGS2