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Microbiome studies have gained increased attention since many discoveries revealed connections between human microbiome compositions and diseases. A critical challenge in microbiome research is that excess false zeros distort taxon abundances, complicate data analysis, and jeopardize the reliability of scientific discoveries. To address this issue, we propose the first imputation method, mbImpute, to identify and recover likely false zeros by borrowing information jointly from similar samples,doi:10.1101/2020.03.07.982314 fatcat:tdps3yabhrhv3lyo7gpswq2x3a