22284 Rar -

In this context, the "useful feature" refers to the specific gene expression data used for predictive modeling and disease classification:

: 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 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) . In this context, the "useful feature" refers to

: The GSE9476 dataset, used for predicting leukemia subtypes, contains exactly 22,284 genes (features). In this context