PERMIT Scoping Review: Biomarker Discovery Studies for Personalised Medicine

A scoping review dataset from the EU PERMIT project on biomarker discovery studies for patient stratification. It contains references for selected articles, with extracted information on study type, methodology, outcome measures, validation type, and key findings. The dataset was compiled by Enrico Glaab at the University of Luxembourg.

Use Cases

• Systematic review of machine learning methodologies used in omics-based biomarker discovery.
• Analysis of validation types and outcome measures reported in personalised medicine studies.
• Extraction of representative sentences for natural language processing tasks on scientific findings.

Strengths

• Data extracted from a structured scoping review process for an EU project.
• Includes multiple extracted data points per article, such as study type, methodology, and key findings.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Luxembourg

Collection Method

Extracted data from a scoping review of the scientific literature.