6 citations · 7 across the 2 of their papers we have counts for
3 papers
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
Elliott Gordon-Rodriguez, Thomas P. Quinn, John P. Cunningham
Data augmentation plays a key role in modern machine learning pipelines. While numerous augmentation strategies have been studied in the context of computer vision and natural lang…
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research
Thomas P Quinn, Sunil Gupta, Svetha Venkatesh +1
Deep learning has become popular because of its potential to achieve high accuracy in prediction tasks. However, accuracy is not always the only goal of statistical modelling, espe…
A Critique of Differential Abundance Analysis, and Advocacy for an Alternative
Thomas P Quinn, Elliott Gordon-Rodriguez, Ionas Erb
It is largely taken for granted that differential abundance analysis is, by default, the best first step when analyzing genomic data. We argue that this is not necessarily the case…