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This dataset presents a global reference and balanced gene expression resource for Acute Lymphoblastic Leukemia (ALL) subtypes. It was constructed by integrating 13 publicly available GEO microarray datasets, resulting in a unified and harmonized dataset covering 258 samples across 9 ALL subtypes and normal controls. The dataset includes 54,675 genes and is balanced to ensure fair representation of each subtype, making it suitable for use in machine learning, biomarker discovery, and translational leukemia research. Files provided include both the balanced dataset and the complete dataset with metadata, enabling reproducibility and global benchmarking in leukemia genomics research.
Bioinformatics Genomics Transcriptomics Oncology Hematology Computational Biology Machine Learning in Medicine Data Integration, Acute Lymphoblastic Leukemia ALL subtypes Gene expression Transcriptomics Microarray Genomics Biomarker discovery Machine learning Integrated dataset Global reference dataset
Bioinformatics Genomics Transcriptomics Oncology Hematology Computational Biology Machine Learning in Medicine Data Integration, Acute Lymphoblastic Leukemia ALL subtypes Gene expression Transcriptomics Microarray Genomics Biomarker discovery Machine learning Integrated dataset Global reference dataset
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |