: 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.
In unrelated contexts, "22284" appears as a document ID for historical archives, such as a 1956 issue of The Rice Thresher , which features sports reporting on football teams. 22284 rar
: The term "RAR" in this domain refers to Retinoic Acid Receptors (e.g., : While the dataset includes over 22,000 features,
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) . : The GSE9476 dataset, used for predicting leukemia
: The GSE9476 dataset, used for predicting leukemia subtypes, contains exactly 22,284 genes (features).
In this context, the "useful feature" refers to the specific gene expression data used for predictive modeling and disease classification: