22284 Rar -

: The term "RAR" in this domain refers to Retinoic Acid Receptors (e.g.,

: While the dataset includes over 22,000 features, researchers typically use machine learning to identify the "most useful" subset (often the top 25 or 2000 highly variable genes) to achieve higher accuracy in diagnosis. 22284 rar

: The GSE9476 dataset, used for predicting leukemia subtypes, contains exactly 22,284 genes (features). : The term "RAR" in this domain refers

The number is often referenced in scientific and data research as a specific count of features or genes within large datasets, most notably in the CuMiDa (Curated Microarray Database) . used for predicting leukemia subtypes