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Different phenotypic similarity measures demonstrate robust performance, largely unaffected by either phenotypic noise or sparsity. Localized multi-kernel learning techniques illuminated biological insights and interpretability by pinpointing channels with inherent genotype-phenotype correlations or latent task similarities, facilitating downstream analyses. This multi-agent framework models the interplay between cell types and their surrounding microenvir
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