Replication Data for Olfactory GSEA and Logistic Regression Phenotyping in Parkinson's Disease

Name: Replication Data for Olfactory GSEA and Logistic Regression Phenotyping in Parkinson's Disease
Creator: Jakub Sofranko
Published: 2026-07-08T20:14:40.528Z
Keywords: Parkinson's Disease, Olfactory System, Clinical Analysis

Sofranko, Jakub; Hunarova, Natalia; Skorvanova, Michaela; Kolisek, Martin

doi:10.17632/zrtbf9ghfs.1

Replication Data for Olfactory GSEA and Logistic Regression Phenotyping in Parkinson's Disease

Published: 8 July 2026| Version 1 | DOI: 10.17632/zrtbf9ghfs.1

Contributors:

,

Description

Extracted University of Pennsylvania Smell Identification Test (UPSIT) data ( from DOI 10.5281/zenodo.13323912) along with the files necessary to reproduce GSEA analysis, and full report of logistic regression to supplemen "A Proof-of-Concept Application of Gene Set Enrichment Analysis Principles to Olfactory Phenotyping Data".

Files

Steps to reproduce

R scripts needed, that can be reached at GitHub (https://github.com/MitoLab-JLF/GSEA_olfactory.git).

Institutions

Comenius University Bratislava
Bratislava Region, Bratislava

Replication Data for Olfactory GSEA and Logistic Regression Phenotyping in Parkinson's Disease

Description

Files

Steps to reproduce

Institutions

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