5 citations · 7 across the 3 of their papers we have counts for
4 papers
Multi-Block Sparse Functional Principal Components Analysis for Longitudinal Microbiome Multi-Omics Data
Lingjing Jiang, Chris Elrod, Jane J. Kim +3
Microbiome researchers often need to model the temporal dynamics of multiple complex, nonlinear outcome trajectories simultaneously. This motivates our development of multivariate…
BayesTime: Bayesian Functional Principal Components for Sparse Longitudinal Data
Lingjing Jiang, Yuan Zhong, Chris Elrod +3
Modeling non-linear temporal trajectories is of fundamental interest in many application areas, such as in longitudinal microbiome analysis. Many existing methods focus on estimati…
Brain Predictability toolbox: a Python library for neuroimaging based machine learning
Sage Hahn, Dekang Yuan, Wesley Thompson +3
Summary Brain Predictability toolbox (BPt) represents a unified framework of machine learning (ML) tools designed to work with both tabulated data (in particular brain, psychiatric…
The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's
Dan Li, Samuel Iddi, Paul S. Aisen +2
Pre-symptomatic (or Preclinical) Alzheimer's Disease is defined by biomarker evidence of fibrillar amyloid beta pathology in the absence of clinical symptoms. Clinical trials in th…