AI in Medical Diagnostics Research
Published August 30, 2025 | Version v1
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A Global Reference Dataset for Balanced Gene Expression Analysis in Acute Lymphoblastic Leukemia Subtypes

Authors/Creators

  • 1. Independent Researcher

Description

We present a global reference processed, merged, and balanced to ensure
balanced gene expression dataset for fair representation of each subtype. This
Acute Lymphoblastic Leukemia (ALL) resource is suitable for machine learning
subtypes. This dataset integrates 8 publicly applications, biomarker discovery, and
available GEO microarray datasets, resulting translational leukemia research , providing
in 258 samples across 9 ALL subtypes and a reproducible and comprehensive reference
normal controls, with expression values for for the scientific community.
54,675 genes. Data were carefully

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Additional details

Related works

Is described by
Dataset: 10.5281/zenodo.17008431 (DOI)

References

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