4921 - 4930 of 9036 Results
Title
Year
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OPENTitle: Integrative transcriptomic meta-analysis of Parkinson’s disease and depression identifies NAMPT as a potential blood biomarker for de novo Parkinson’s diseaseJournal Name: Scientific ReportsPublisher: Springer Science and Business Media LLCVol: 6Issue #: 1Start Page: 34579End Page: 34579Publication Date:Open Access(OA) Status: OPENLicense: cc-byDOI - Digital Object Identifier: 10.1038/srep34579Best OA location URL: https://www.nature.com/articles/srep34579.pdfCitation Count: 40
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RESTRICTEDTitle: Unified deep learning approach for prediction of Parkinson's diseaseJournal Name: IET Image ProcessingPublisher: Institution of Engineering and Technology (IET)Vol: 14Issue #: 10Start Page:End Page:Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1049/iet-ipr.2019.1526Best OA location URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-ipr.2019.1526Citation Count: 71
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OPENTitle: The longitudinal associations between cognition, mood and striatal dopaminergic binding in Parkinson’s DiseaseJournal Name: Aging, Neuropsychology, and CognitionPublisher: Informa UK LimitedVol: 27Issue #: 4Start Page: 581End Page: 594Publication Date:Open Access(OA) Status: OPENLicense:DOI - Digital Object Identifier: 10.1080/13825585.2019.1653445Best OA location URL: https://www.ncbi.nlm.nih.gov/pmc/articles/8763139Citation Count: 24
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OPENTitle: Partial Correlation Coefficient for a Study With Repeated MeasurementsJournal Name: Statistics in Biopharmaceutical ResearchPublisher: Informa UK LimitedVol: 13Issue #: 4Start Page: 448End Page: 454Publication Date:Open Access(OA) Status: OPENLicense:DOI - Digital Object Identifier: 10.1080/19466315.2020.1784780Best OA location URL: https://www.ncbi.nlm.nih.gov/pmc/articles/8735669Citation Count: 15
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OPENTitle: Predicting dichotomised outcomes from high-dimensional data in biomedicineJournal Name: Journal of Applied StatisticsPublisher: Informa UK LimitedVol: 51Issue #: 9Start Page: 1756End Page: 1771Publication Date:Open Access(OA) Status: OPENLicense: cc-byDOI - Digital Object Identifier: 10.1080/02664763.2023.2233057Best OA location URL: https://www.tandfonline.com/doi/pdf/10.1080/02664763.2023.2233057?needAccess=true&role=buttonCitation Count: 1
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OPENTitle: Upregulation of Glutaredoxin-1 Activates Microglia and Promotes Neurodegeneration: Implications for Parkinson's DiseaseJournal Name: Antioxidants & Redox SignalingPublisher: SAGE PublicationsVol: 25Issue #: 18Start Page: 967End Page: 982Publication Date:Open Access(OA) Status: OPENLicense:DOI - Digital Object Identifier: 10.1089/ars.2015.6598Best OA location URL: https://www.liebertpub.com/doi/pdf/10.1089/ars.2015.6598Citation Count: 40
- Miro1 Marks Parkinson’s Disease Subset and Miro1 Reducer Rescues Neuron Loss in Parkinson’s Models2019OPENTitle: Miro1 Marks Parkinson’s Disease Subset and Miro1 Reducer Rescues Neuron Loss in Parkinson’s ModelsJournal Name: Cell MetabolismPublisher: Elsevier BVVol: 30Issue #: 6Start Page: 1131End Page: 1140.e7Publication Date:Open Access(OA) Status: OPENLicense:DOI - Digital Object Identifier: 10.1016/j.cmet.2019.08.023Best OA location URL: http://www.cell.com/article/S1550413119304978/pdfCitation Count: 165
- Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease2019RESTRICTEDTitle: Optimized machine learning methods for prediction of cognitive outcome in Parkinson's diseaseJournal Name: Computers in Biology and MedicinePublisher: Elsevier BVVol: 111Issue #:Start Page: 103347End Page: 103347Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.compbiomed.2019.103347Citation Count: 60
- Prediction of Parkinson’s disease pathogenic variants using hybrid Machine learning systems and radiomic features2023OPENTitle: Prediction of Parkinson’s disease pathogenic variants using hybrid Machine learning systems and radiomic featuresJournal Name: Physica MedicaPublisher: Elsevier BVVol: 113Issue #:Start Page: 102647End Page: 102647Publication Date:Open Access(OA) Status: OPENLicense:DOI - Digital Object Identifier: 10.1016/j.ejmp.2023.102647Citation Count: 23
- An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks2024RESTRICTEDTitle: An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural NetworksJournal Name: Digital Signal ProcessingPublisher: Elsevier BVVol: 147Issue #:Start Page: 104407End Page: 104407Publication Date:Open Access(OA) Status: RESTRICTEDLicense:DOI - Digital Object Identifier: 10.1016/j.dsp.2024.104407Citation Count: 25