A pairwise strategy for imputing predictive features when combining multiple datasets

HIGHLIGHTS

  • who: Bioinformatics et al. from the Department of, Harvard THChan School of Public Health, Boston, MA, USA, Laboratory for Psychiatric and Department of, Boston University School of Public Health, Boston, MA, USA have published the article: A pairwise strategy for imputing predictive features when combining multiple datasets, in the Journal: (JOURNAL)
  • what: The authors characterize the loss in predictive performance incurred by using only the intersection of feature information available across all studies when training predictors using gene expression data from microarray and sequencing datasets. To improve this process the authors propose a pairwise strategy . . .

     

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