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Nonnegative matrix factorization integrates single-cell multi-omic datasets with partially overlapping features

By A. Kriebel and J. Welch at
LogoUniversity of Michigan
Single-cell genomic technologies provide an unprecedented opportunity to define molecular cell types in a data-driven fashion, but present unique data integration challenges. Integration analyses often involve datasets with partially overlapping features, including both shared features that occur in all datasets and features exclusive to a single experiment. Previous computational integration... Show more
February 9, 2022
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Nonnegative matrix factorization integrates single-cell multi-omic datasets with partially overlapping features
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