16 citations · 24 across the 5 of their papers we have counts for
5 papers
Segmented correspondence curve regression model for quantifying reproducibility of high-throughput experiments
Feipeng Zhang, Frank Shen, Tao Yang +1
The reliability of a high-throughput biological experiment relies highly on the settings of the operational factors in its experimental and data-analytic procedures. Understanding…
A Continuous Threshold Expectile Model
Feipeng Zhang, Qunhua Li
Expectile regression is a useful tool for exploring the relation between the response and the explanatory variables beyond the conditional mean. This article develops a continuous…
Robust bent line regression
Feipeng Zhang, Qunhua Li
We introduce a rank-based bent linear regression with an unknown change point. Using a linear reparameterization technique, we propose a rank-based estimate that can make simultane…
A likelihood-based scoring method for peptide identification using mass spectrometry
Qunhua Li, Jimmy K. Eng, Matthew Stephens
Mass spectrometry provides a high-throughput approach to identify proteins in biological samples. A key step in the analysis of mass spectrometry data is to identify the peptide se…
A nested mixture model for protein identification using mass spectrometry
Qunhua Li, Michael J. MacCoss, Matthew Stephens
Mass spectrometry provides a high-throughput way to identify proteins in biological samples. In a typical experiment, proteins in a sample are first broken into their constituent p…