A large-scale neural network training framework for generalized estimation of single-trial population dynamics. All Authors: Author Profiles: Publish Date: Journal: , Read Publication
Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease. All Authors: Author Profiles: Publish Date: Journal: , Read Publication
Predictors of Cognitive Decline in Healthy Middle-Aged Individuals with Asymptomatic Alzheimer's Disease. All Authors: Author Profiles: Publish Date: Journal: Read Publication
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. All Authors: Author Profiles: Publish Date: Journal: , Read Publication
What Threshold of Amyloid Reduction Is Necessary to Meaningfully Improve Cognitive Function in Transgenic Alzheimer's Disease Mice? All Authors: Author Profiles: Publish Date: Journal: , Read Publication
EmbedGEM: a framework to evaluate the utility of embeddings for genetic discovery. All Authors: Author Profiles: Publish Date: Journal: , Read Publication
A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. All Authors: Author Profiles: Publish Date: Journal: , Read Publication
Reconstruction of ancient microbial genomes from the human gut. All Authors: Author Profiles: Publish Date: Journal: , Read Publication
Gene-level metagenomic architectures across diseases yield high-resolution microbiome diagnostic indicators. All Authors: Author Profiles: Publish Date: Journal: , Read Publication
Leveraging vibration of effects analysis for robust discovery in observational biomedical data science. All Authors: Author Profiles: Publish Date: Journal: , Read Publication