Research graph
References from A proof-of-concept application of gene set enrichment analysis principles to olfactory phenotyping in Parkinson’s disease. Local targets link to admitted publications; unresolved targets remain external evidence.
Recommended best practices for construct-centered adaptation of the harmonized cognitive assessment protocol.
10.1093/geronb/gbaf201 · 2026 · External reference
Categorical dimensions of human odor descriptor space revealed by non-negative matrix factorization.
10.1371/journal.pone.0073289 · 2013 · External reference
Riechprüfung mit “sniffin’ sticks” zur klinischen diagnostik des morbus parkinson.
10.1007/s001150050640 · 2000 · External reference
Development of the university of pennsylvania smell identification test: A standardized microencapsulated test of olfactory function.
10.1016/0031-9384(84)90269-5 · 1984 · External reference
Identifying the pattern of olfactory deficits in Parkinson disease using the brief smell identification test.
10.1001/archneur.60.4.545 · 2003 · External reference
GSEApy: A comprehensive package for performing gene set enrichment analysis in python.
10.1093/bioinformatics/btac757 · 2023 · External reference
Selective hyposmia in Parkinson’s disease?
10.1007/s00415-013-7153-2 · 2013 · External reference
Gene set enrichment analysis: Performance evaluation and usage guidelines.
10.1093/bib/bbr049 · 2012 · External reference
Accuracy of the montreal cognitive assessment tool for detecting mild cognitive impairment: A systematic review and meta-analysis.
10.1002/alz.13040 · 2023 · External reference
Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation.
10.1038/s41467-023-41132-w · 2023 · External reference
Neurostimulation for advanced parkinson disease and quality of life at 5 Years: A nonrandomized controlled trial.
10.1001/jamanetworkopen.2023.52177 · 2024 · External reference
10.1101/060012
10.1101/060012 · 2021 · External reference
Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory.
10.1038/s41531-025-00904-5 · 2025 · External reference
Development of a simplified smell test to identify patients with typical Parkinson’s as informed by multiple cohorts, machine learning and external validation.
10.5281/zenodo.13323913 · 2024 · External reference
SPARC expression in gastric cancer predicts poor prognosis: Results from a clinical cohort, pooled analysis and GSEA assay.
10.18632/oncotarget.12191 · 2016 · External reference
Hyposmia in Parkinson’s disease; exploring selective odour loss.
10.1038/s41531-025-00922-3 · 2025 · External reference
Optimizing olfactory testing for the diagnosis of Parkinson’s disease: Item analysis of the university of pennsylvania smell identification test.
10.1038/s41531-017-0039-8 · 2018 · External reference
MDS clinical diagnostic criteria for Parkinson’s disease.
10.1002/mds.26424 · 2015 · External reference
OlfactionBase: A repository to explore odors, odorants, olfactory receptors and odorant–receptor interactions.
10.1093/nar/gkab763 · 2021 · External reference
Replication data for olfactory GSEA and logistic regression phenotyping in Parkinson’s disease.
10.17632/zrtbf9ghfs.2 · 2026 · External reference
GSEA-P: A desktop application for gene set enrichment analysis.
10.1093/bioinformatics/btm369 · 2007 · External reference
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.
10.1073/pnas.0506580102 · 2005 · External reference
Network enrichment significance testing in brain-phenotype association studies.
10.1101/2023.11.10.566593 · 2023 · External reference
MSEA: A web-based tool to identify biologically meaningful patterns in quantitative metabolomic data.
10.1093/nar/gkq329 · 2010 · External reference
