Search Results for author:
Found 3 papers, 1 papers with code
Bugs as Features (Part II): A Perspective on Enriching Microbiome-Gut-Brain Axis Analyses
In this companion piece to Bugs as Features (part I), we present techniques from adjacent and disparate fields to enrich and inform the analysis of microbiome-gut-brain-axis data.
Knowledge-based Integration of Multi-Omic Datasets with Anansi: Annotation-based Analysis of Specific Interactions
We further extend our framework beyond pairwise association testing to differential association testing, and show how anansi can be used to identify associations that differ in strength or degree based on sample covariates such as case/control status.
Bugs as Features (Part I): Concepts and Foundations for the Compositional Data Analysis of the Microbiome-Gut-Brain Axis
There has been a growing acknowledgement of the involvement of the gut microbiome - the collection of microbes that reside in our gut - in regulating our mood and behaviour.
