The Omic Revolution: Leveraging Deep Multiomic Integration to Illuminate Cellular Dynamics

Given the wide array of post transcriptional and post translational regulatory processes that govern cellular dynamics, additional omics types (quantitative proteomics, phosphorylation proteomics, epigenomics, metabolomics, etc.) are needed to capture a more comprehensive understanding of the molecular landscape of a tumor. The deep analyses enabled by such a dataset has the power to reveal unimaginable insight around cellular dynamics and improve the prospects of effective precision medicine.

Here, we present a deep dive into an analysis module termed Pharmaco-Pheno-Multi Omic (PPMO®️) integration used for novel target and comprehensive biomarker discovery. We will feature:

  • Details on the analytic scripts, models, and datasets required for building an efficient PPMO®️ model
  • Case Studies highlighting the power of this multiomic workflow

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