scSAMAC: saliency-adjusted masking induced attention contrastive learning for single-cell clustering.

Based on these sums, we categorize genes into three types: columns with sums closest to the most significant gene are labeled as “significant” gene columns, those with moderately close sums to it as “moderately significant” gene columns, and those with sums farthest from the most significant gene as “least significant” gene columns.

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