14 citations · 25 across the 6 of their papers we have counts for
6 papers
DMseg: a Python algorithm for de novo detection of differentially or variably methylated regions
Xiaoyu Wang, Ming Yu, William Grady +3
Detecting and assessing statistical significance of differentially methylated regions (DMRs) is a fundamental task in methylome association studies. While the average differential…
Incorporating increased variability in testing for cancer DNA methylation
James Y. Dai, Heng Chen, Xiaoyu Wang +4
Cancer development is associated with aberrant DNA methylation, including increased stochastic variability. Statistical tests for discovering cancer methylation biomarkers have foc…
Addressing patient heterogeneity in disease predictive model development
Xu Gao, Weining Shen, Jing Ning +2
This paper addresses patient heterogeneity associated with prediction problems in biomedical applications. We propose a systematic hypothesis testing approach to determine the exis…
Logistic regression analysis with standardized markers
Ying Huang, Margaret S. Pepe, Ziding Feng
Two different approaches to analysis of data from diagnostic biomarker studies are commonly employed. Logistic regression is used to fit models for probability of disease given mar…
Asymptotic properties of the sequential empirical ROC, PPV and NPV curves under case-control sampling
Joseph S. Koopmeiners, Ziding Feng
The receiver operating characteristic (ROC) curve, the positive predictive value (PPV) curve and the negative predictive value (NPV) curve are three measures of performance for a c…
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…