CancerClinicalPathwaysMethodsPaperOutline

General Questions for Paper

  • can we transfer parameters between pathways
  • how do we model the different types of regulation?
  • how does the structure help vs non-structured
    • compare to gene set analysis
    • compare to SPIA?
  • how can we relate cell lines to clinical samples?
  • how can we revert disease states to normal or treatable states?

Figures List

Figure method cartoon

Figure Synthetic data and pathway comparison to SPIA (~ 4 patients)

  • 3 patients with apoptosis inactivated
    • One where SPIA and "naive" GM get the wrong apoptosis inference, and requires modeling of protein expression to get the right answer
    • 1 with normal apoptosis

Figure parameter transfer between pathways

Figure sensitivity analysis (parameter choice)

Figure: Show importance of structure by scrambling/randomizing pathway structures

Figure predicted activities overview heatmaps

heatmaps of pathway x sample:
  • per sample GSEA
  • per sample SPIA
  • per sample DAGGER

Figure classifier results

  • GBM
    • age at diagnosis
    • survival (< > year)
  • Melanoma
    • RAF signal
  • Gray cell lines
    • Drug GI50

References/Previous Work

Irit Gat-Viks and Ron Shamir have a highly relevant series of work: