Matches in Nanopublications for { <https://doi.org/10.1093/bioadv/vbae208> ?p ?o ?g. }
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- vbae208 type ScholarlyWork assertion.
- vbae208 type ScholarlyWork assertion.
- vbae208 type ScholarlyWork assertion.
- vbae208 type ScholarlyWork assertion.
- vbae208 label "QOMIC paper" assertion.
- vbae208 label "QOMIC paper" assertion.
- vbae208 comment "This demonstrates clear computational advantage of quantum approaches over classical methods for network analysis. The 19/20 success rate provides strong evidence for the PICO outcome measures regarding quantum advantage in biological network problems. Relevant for transferring methodology to ecological network analysis." assertion.
- vbae208 comment "Highlights current hardware constraints and practical workarounds. This addresses the PICO outcome regarding 'hardware requirements' and 'readiness for operational research'. The partitioning approach enables scaling beyond current qubit limitations, relevant for large-scale biodiversity networks." assertion.
- vbae208 comment "While focused on human disease networks rather than biodiversity, the methodology for analyzing regulatory networks and identifying significant motifs is directly applicable to ecological interaction networks, species distribution models, and conservation network analysis." assertion.
- vbae208 hasQuotedText "QOMIC consistently outperforms all baseline methods in identifying all four motif types (19/20 comparisons)" assertion.
- vbae208 hasQuotedText "Due to the limitation on the number of qubits in current quantum machines, we employ a partitioning technique to address the large networks" assertion.
- vbae208 hasQuotedText "We focus on neurodegenerative diseases, specifically Alzheimer's, Parkinson's, Huntington's, Amyotrophic Lateral Sclerosis (ALS), and Motor Neurone Disease (MND)" assertion.
- vbae208 P921 Q7001080 assertion.
- vbae208 P921 Q17995793 assertion.
- vbae208 isPartOf quantum-computing-applications-for-biodiversity-re assertion.
- vbae208 isPartOf quantum-computing-applications-for-biodiversity-re assertion.
- vbae208 isPartOf quantum-computing-applications-for-biodiversity-re assertion.
- vbae208 extends science.298.5594.824 assertion.
- vbae208 usesDataFrom gkx1013 assertion.
- vbae208 usesMethodIn 1411.4028 assertion.
- vbae208 usesMethodIn zenodo.2562110 assertion.