Showing 1–12 of 12 results
/ Date/ Name
May 19, 2023Bugs as Features (Part II): A Perspective on Enriching Microbiome-Gut-Brain Axis AnalysesMay 18, 2023Knowledge-based Integration of Multi-Omic Datasets with Anansi: Annotation-based Analysis of Specific InteractionsJul 25, 2022Bugs as Features (Part I): Concepts and Foundations for the Compositional Data Analysis of the Microbiome-Gut-Brain AxisMay 20, 2022Data Augmentation for Compositional Data: Advancing Predictive Models of the MicrobiomeOct 13, 2021A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics ResearchSep 7, 2021Readying Medical Students for Medical AI: The Need to Embed AI Ethics EducationJul 8, 2021Stool Studies Don't Pass the Sniff Test: A Systematic Review of Human Gut Microbiome Research Suggests Widespread Misuse of Machine LearningApr 15, 2021A Critique of Differential Abundance Analysis, and Advocacy for an AlternativeMar 24, 2021Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target PredictionDec 10, 2020The Three Ghosts of Medical AI: Can the Black-Box Present Deliver?Aug 18, 2020Trust and Medical AI: The challenges we face and the expertise needed to overcome themJun 2, 2020DeepCoDA: personalized interpretability for compositional health data