My contribution to this years AEESP Conference Workshop Meta-omics in Environmental Engineering Research. Theory, Statistics, and Data Interpretation is a talk titled Statistical considerations for ‘omic data analysis. With such little time to speak, I’m afraid I was only able to scratch the surface, but I hope it was enough to awaken some interest and be of some help!

If so inclined, you can download a pdf of my presentation HERE.

Outline:

  • data structures
  • transformations and distances
  • ordination
  • clustering
  • Hypothesis testing: PERMANOVA, ANOSIM, & differential abundance testing

I’d like to thank all of my co-organizers for the opportunity to contribute to this project!

Organizers:

  • Christopher Anderson, Northeastern University
  • Zihan Dai, University of Glasgow
  • Christopher Lawson, University of Wisconsin, Madison
  • Ameet Pinto, Northeastern University
  • Jacob Price, University of Wisconsin, Madison
  • Maria Sevillano, Northeastern University
  • Varun Srinivasan, Brown and Caldwell
  • Ryan Ziels, University of British Columbia