The quantum embedding circuit designed for the miRNA dataset, featuring three layers of repeated Hadamard (H), RZ, and control-NOT unitary gates. حسب Aninda Astuti (21736334)

الموضوعات:

Training loss results plotted against the number of iterations for (a) 9, (b) 10, (c) 11, and (d) 12 principal components. حسب Aninda Astuti (21736334)

الموضوعات:

Predicting pattern diversity decreases as a function of and . حسب Selim Haj Ali (21222613)

الموضوعات:

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+SVC and NQE+QSVC in the 5 PCs case. حسب Aninda Astuti (21736334)

الموضوعات:

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC12. حسب Aninda Astuti (21736334)

الموضوعات:

The results of the ten performance metrics for NQE+SVC vs NQE+QSVC using (a) 9, (b) 10, (c) 11, and (d) 12 principle components, respectively. حسب Aninda Astuti (21736334)

الموضوعات:

The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus re... حسب Aninda Astuti (21736334)

الموضوعات:

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... حسب Aninda Astuti (21736334)

الموضوعات:

Data embedding by using Neural Quantum Embedding (NQE). حسب Aninda Astuti (21736334)

الموضوعات:

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC11. حسب Aninda Astuti (21736334)

الموضوعات:

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+NN and NQE+QNN in the 6 PCs case. حسب Aninda Astuti (21736334)

الموضوعات:

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+NN and NQE+QNN in the 5 PCs case. حسب Aninda Astuti (21736334)

الموضوعات:

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+NN and NQE+QNN in the 4 PCs case. حسب Aninda Astuti (21736334)

الموضوعات:

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC10. حسب Aninda Astuti (21736334)

الموضوعات:

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+SVC and NQE+QSVC in the 4 PCs case. حسب Aninda Astuti (21736334)

الموضوعات:

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... حسب Aninda Astuti (21736334)

الموضوعات:

The workflow of integrating NQE with QSVC and QNN classifiers. حسب Aninda Astuti (21736334)

الموضوعات:

Histograms of changes in pattern diversity حسب Selim Haj Ali (21222613)

الموضوعات:

Confusion matrix relative to the pattern diversity prediction problem: dynamical outcome (actual) and structural condition (predicted). حسب Selim Haj Ali (21222613)

الموضوعات:

The results of the 4 differentially expressed miRNAs obtained by analysing miRNAs expression profiles using the R ‘limma’ package. حسب Aninda Astuti (21736334)

الموضوعات: