The results of the ten performance metrics for NQE+SVC vs NQE+QSVC based on classifying miRNA expression profiles.

The results of the ten performance metrics for NQE+SVC vs NQE+QSVC based on classifying miRNA expression profiles.

<p>The results of the ten performance metrics for NQE+SVC vs NQE+QSVC based on classifying miRNA expression profiles.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Aninda Astuti (21736334) (author)
مؤلفون آخرون:	Pin-Keng Shih (13200121) (author), Shan-Chih Lee (493837) (author), Venugopala Reddy Mekala (21736337) (author), Ezra B. Wijaya (21736340) (author), Ka-Lok Ng (9295900) (author)
منشور في:	2025
الموضوعات:	Medicine Cell Biology Cancer Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified solving intricate problems improved execution time cancer cell dissemination neural quantum embedding combines quantum computing qnn algorithms compared despite extensive research identifying metastasis biomarkers complex metastasis process qml &# 8217 binary classification problem binary classification hybrid quantum research delves classical algorithms study addresses stage approach offering potential machine learning high lethality drawing inspiration daunting task
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

The workflow of integrating NQE with QSVC and QNN classifiers.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

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)
منشور في: (2025)

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+SVC and NQE+QSVC in the 6 PCs case.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

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)
منشور في: (2025)

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)
منشور في: (2025)

Comparison of performance metrics, SVC vs QSVC after using NQE for data embedding. Bold-faced fonts denote that the classifier achieves better performance.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

Comparison of NQE combined with SVC, NN, and QCNN classifiers. The table shows the number of test cases, comparison with classical classifiers, and data imbalance issues in this and previous work.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

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)
منشور في: (2025)

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)
منشور في: (2025)

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)
منشور في: (2025)

Data embedding by using Neural Quantum Embedding (NQE).
حسب: Aninda Astuti (21736334)
منشور في: (2025)

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 without the ‘±’ signs represent the results for the ‘test’ set.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

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 without the ‘±’ signs represent the results for the ‘test’ set.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

The results of the 4 differentially expressed miRNAs obtained by analysing miRNAs expression profiles using the R ‘limma’ package.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

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)
منشور في: (2025)

The train and test kernel matrix matrices.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

Training loss results plotted against the number of iterations.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

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)
منشور في: (2025)

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 requiring fewer qubits.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC12.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC11.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC10.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

The results of the 48 differentially expressed genes obtained by analysing gene expression profiles using the DEseq2 package.
حسب: Aninda Astuti (21736334)
منشور في: (2025)

Quantum Artificial Intelligence (QAI)
حسب: Ali Bakhshi (12980129)
منشور في: (2024)

Replication Package: Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction
حسب: Md Nadim (17811941)
منشور في: (2025)

MCLP_quantum_annealer_V0.5
حسب: Anonymous Anonymous (4854526)
منشور في: (2025)

Quantum-Embedded Graph Neural Network Architecture for Molecular Property Prediction
حسب: Min Lu (238723)
منشور في: (2025)

Quantum-Embedded Graph Neural Network Architecture for Molecular Property Prediction
حسب: Min Lu (238723)
منشور في: (2025)

Mathematical Lifting of Eigenvergence in Recursive Expansive Dynamics
حسب: Julian Del Bel (21360938)
منشور في: (2025)

Generalized eigenvalue problem (A,B) forms in ocean acoustics
حسب: Jiaxin Li (21141896)
منشور في: (2025)

Supplementary file 1_Encodings of the weighted MAX k-CUT problem on qubit systems.pdf
حسب: Franz G. Fuchs (22776248)
منشور في: (2025)

Supplementary file 1_Optimizing quantum convolutional neural network architectures for arbitrary data dimension.pdf
حسب: Changwon Lee (20812727)
منشور في: (2025)

Demonstration data and properties of the quantum device ibm_brisbane
حسب: Xiaoyang Wang (19730914)
منشور في: (2024)

Supplementary File
حسب: Chayan Patra (20083887)
منشور في: (2025)

An introduction to quantum computing - teaching the basics
حسب: Taariq Surtee (22637900)
منشور في: (2025)

QA solutions using a series of spins without iteration.
حسب: Takuro Matsuta (21608505)
منشور في: (2025)

SA solutions using a series of spins without iteration.
حسب: Takuro Matsuta (21608505)
منشور في: (2025)

QA and SA solutions by truncated spectral expansion when
حسب: Takuro Matsuta (21608505)
منشور في: (2025)

QA and SA solutions by truncated spectral expansion when
حسب: Takuro Matsuta (21608505)
منشور في: (2025)

Cost function calculated by QA with different hyperparameters.
حسب: Takuro Matsuta (21608505)
منشور في: (2025)

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