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.
<p>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.</p>
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2025
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| _version_ | 1852018398213439488 |
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| author | Aninda Astuti (21736334) |
| author2 | Pin-Keng Shih (13200121) Shan-Chih Lee (493837) Venugopala Reddy Mekala (21736337) Ezra B. Wijaya (21736340) Ka-Lok Ng (9295900) |
| author2_role | author author author author author |
| author_facet | Aninda Astuti (21736334) Pin-Keng Shih (13200121) Shan-Chih Lee (493837) Venugopala Reddy Mekala (21736337) Ezra B. Wijaya (21736340) Ka-Lok Ng (9295900) |
| author_role | author |
| dc.creator.none.fl_str_mv | Aninda Astuti (21736334) Pin-Keng Shih (13200121) Shan-Chih Lee (493837) Venugopala Reddy Mekala (21736337) Ezra B. Wijaya (21736340) Ka-Lok Ng (9295900) |
| dc.date.none.fl_str_mv | 2025-07-17T17:36:30Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0327928.s011 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/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_/29592788 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 |
| dc.title.none.fl_str_mv | 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. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>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.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_30bf92d217efc48ac062fbb8ea9c5a4c |
| identifier_str_mv | 10.1371/journal.pone.0327928.s011 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29592788 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | 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.Aninda Astuti (21736334)Pin-Keng Shih (13200121)Shan-Chih Lee (493837)Venugopala Reddy Mekala (21736337)Ezra B. Wijaya (21736340)Ka-Lok Ng (9295900)MedicineCell BiologyCancerSpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsolving intricate problemsimproved execution timecancer cell disseminationneural quantum embeddingcombines quantum computingqnn algorithms compareddespite extensive researchidentifying metastasis biomarkerscomplex metastasis processqml &# 8217binary classification problembinary classificationhybrid quantumresearch delvesclassical algorithmsstudy addressesstage approachoffering potentialmachine learninghigh lethalitydrawing inspirationdaunting task<p>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.</p>2025-07-17T17:36:30ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0327928.s011https://figshare.com/articles/figure/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_/29592788CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/295927882025-07-17T17:36:30Z |
| spellingShingle | 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. Aninda Astuti (21736334) 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 |
| status_str | publishedVersion |
| title | 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. |
| title_full | 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. |
| title_fullStr | 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. |
| title_full_unstemmed | 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. |
| title_short | 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. |
| title_sort | 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. |
| topic | 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 |