Incorporating hierarchical information into multiple instance learning for patient phenotype prediction with single-cell RNA-sequencing data

Multiple instance learning (MIL) provides a structured approach to patient phenotype prediction with single-cell RNA-sequencing (scRNA-seq) data. However, existing MIL methods tend to overlook the hierarchical structure inherent in scRNA-seq data, especially the biological groupings of cells or cell...

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