Author

E. Hung

University of California, Los AngelesORCID 0009-0008-6306-9263Unclaimed ORCID profile · follow to get notified of new preprints

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E. Hung1 paper

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Research Focus:benchmarking· 1 Research Focus:imputation· 1 Approach:matrix factorization· 1 Approach:statistical model· 1

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Aaron S. MeyeriD· 1 shared Enio Hodzic· 1 shared Zhixin Cyrillus TaniD· 1 shared

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Systems BiologybioRxivPreprintJul 5, 2024

Censored Least Squares for Imputing Missing Values in PARAFAC Tensor Factorization

E. Hung, Enio Hodzic, Zhixin Cyrillus Tan, Aaron S. Meyer

This study compares censored least squares to other methods for imputing missing values in tensor factorization of biological datasets, finding censored least squares to be more accurate and efficient.

DOI 10.1101/2024.07.05.602272

statistical modelmatrix factorization

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