Livoa LogoLivoa
METHODOLOGY
Dataset: GSE74190
Data Preprocessing: Benjamini–Hochberg correction (adj p < 0.05), log2FC > 1 filtering
Validation: using miRTarBase
Visualisation & Normalisation: Boxplot, Volcano, PCA, Heatmap
Functional Enrichment Analysis and Biological Interpretation
Machine Learning Modelling
(Random Forest, Classifier, SVM, Logistic regression)
Evaluation Metrics: Accuracy, Precision, Recall, F1-score, Confusion Matrix

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