A Global Reference Dataset for Balanced Gene Expression Analysis in Acute Lymphoblastic Leukemia Subtypes
We present a global reference processed, merged, and balanced to ensurebalanced gene expression dataset for fair representation of each subtype. ThisAcute Lymphoblastic Leukemia (ALL) resource is suitable for machine learningsubtypes. This dataset integrates 8 publicly applications, biomarker discovery, andavailable GEO microarray datasets, resulting translational leukemia research , providingin 258 samples across 9 ALL subtypes and a reproducible and comprehensive referencenormal controls, with expression values for for the scientific community.54,675 genes. Data were carefully
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-30
- DOI
- https://doi.org/10.5281/zenodo.17009801
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00