sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering.
What Threshold of Amyloid Reduction Is Necessary to Meaningfully Improve Cognitive Function in Transgenic Alzheimer's Disease Mice?
A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type.
Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators.
Leveraging vibration of effects analysis for robust discovery in observational biomedical data science.
Systematically assessing microbiome-disease associations identifies drivers of inconsistency in metagenomic research.
