Predictive and robust gene selection for spatial transcriptomics

HIGHLIGHTS

• who: Ian Covert from the (UNIVERSITY) have published the paper: Predictive and robust gene selection for spatial transcriptomics, in the Journal: (JOURNAL) of 16/03/2023
• what: Using datasets spanning different brain regions, species, and scRNA-seq technologies, the authors show that PERSIST reliably identifies panels that provide more accurate prediction of the genome-wide expression profile, thereby capturing more information with fewer genes. PERSIST can be adapted to specific biological goals, and the authors demonstrate that PERSIST`s binarization of gene_expression levels enables models trained on scRNA-seq data to generalize with to spatial . . .
  

   

  

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