18 citations · 24 across the 7 of their papers we have counts for
4 papers · 1 filter
Kernel-Penalized Regression for Analysis of Microbiome Data
Timothy W. Randolph, Sen Zhao, Wade Copeland +2
The analysis of human microbiome data is often based on dimension-reduced graphical displays and clustering derived from vectors of microbial abundances in each sample. Common to t…
Longitudinal Functional Models with Structured Penalties
Madan G. Kundu, Jaroslaw Harezlak, Timothy W. Randolph
This paper addresses estimation in a longitudinal regression model for association between a scalar outcome and a set of longitudinally-collected functional covariates or predictor…
Analyzing LC-MS/MS data by spectral count and ion abundance: two case studies
Thomas I. Milac, Timothy W. Randolph, Pei Wang
In comparative proteomics studies, LC-MS/MS data is generally quantified using one or both of two measures: the spectral count, derived from the identification of MS/MS spectra, or…
Structured penalties for functional linear models---partially empirical eigenvectors for regression
Timothy W. Randolph, Jaroslaw Harezlak, Ziding Feng
One of the challenges with functional data is incorporating spatial structure, or local correlation, into the analysis. This structure is inherent in the output from an increasing…