Propensity score matching offers more efficient biomarker discovery in cancer research

Thanks to advances in molecular sequencing, scientists have generated a wealth of data from the genome, transcriptome, proteome and metabolome. However, these “-omics” datasets are complex and there is currently no standard method for parsing through the data to separate specific biomarkers from possibly confounding variables.

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