MERIT — Workbench Readiness Assessment

$MERIT logo$

Machine Learning Readiness for Tabular Metabolomics Data focused on Metabolomics Workbench.

v0.1 · Workbench-only mode

Acquire
Resolve a Workbench study from local archive files by ST accession ID.
Normalize
Convert repository-native files into the canonical study schema with provenance hashes.
Assess
Compute readiness metrics across structural, metadata, analytical QC, annotation, cohort, ML feasibility, and class separability dimensions.
Report
Review scores, source-wise diagnostics, and actionable recommendations for downstream analysis.

Browse Studies

Filter by disease, organism, platform, and score band. Click a Study ID to autofill the form.

Run a MERIT Assessment

Evaluate the machine-learning readiness of tabular metabolomics datasets from Metabolomics Workbench.

Workflow Ready

Enter a Workbench accession ID and run the pipeline. The report will display all readiness dimensions, a Readiness Score radar chart, per-source data availability, and per-metric recommendations.

Run a MERIT Assessment

Repository & Accession

Workflow Ready