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Gene-GeneRelationshipModelingBasedonGenetic EvidenceforSingle-CellRNA-SeqDataImputation

Neural Information Processing Systems

Single-cell RNA sequencing (scRNA-seq) technologies enable the exploration of cellular heterogeneity and facilitate the construction of cell atlases. However, scRNA-seq data often contain a large portion of missing values (false zeros) or noisy values, hindering downstream analyses. To recover these false zeros, propagation-based imputation methods havebeen proposed usingk-NN graphs.