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  "Title": "Structured Matrix Completion",
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  "Author": "Yifu Liu, Anru Zhang, Tianxi Cai, T. and Tony Cai",
  "Maintainer": "Yifu Liu <2012johnnyliu@gmail.com>",
  "Description": "Current literature on matrix completion focuses primarily\non independent sampling models under which the individual\nobserved entries are sampled independently. Motivated by\napplications in genomic data integration, we propose a new\nframework of structured matrix completion (SMC) to treat\nstructured missingness by design. Specifically, our proposed\nmethod aims at efficient matrix recovery when a subset of the\nrows and columns of an approximately low-rank matrix are\nobserved. The main function in our package, smc.FUN, is for\nrecovery of the missing block A22 of an approximately low-rank\nmatrix A given the other blocks A11, A12, A21.",
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