High-sensitivity pattern discovery in large, paired multiomic datasets

HIGHLIGHTS

• who: Bioinformatics and colleagues from the 2115, USA, Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand, Department of have published the paper: High-sensitivity pattern discovery in large, paired multiomic datasets, in the Journal: (JOURNAL)
• what: The authors provide an overview of the HAllA algorithm and its component steps. The authors develop a hierarchical AllA association testing framework (HAllA) that identifies highly general association types in paired, high-dimensional and potentially heterogeneous datasets. The original study focused on the 9th principal component (PC9) of the dataset due to its linking of a . . .
  

   

  

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