42 citations · 100 across the 7 of their papers we have counts for
7 papers
An adaptable generalization of Hotelling's test in high dimension
Haoran Li, Alexander Aue, Debashis Paul +2
We propose a two-sample test for detecting the difference between mean vectors in a high-dimensional regime based on a ridge-regularized Hotelling's . To choose the regulariza…
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…
Bootstrap inference for network construction with an application to a breast cancer microarray study
Shuang Li, Li Hsu, Jie Peng +1
Gaussian Graphical Models (GGMs) have been used to construct genetic regulatory networks where regularization techniques are widely used since the network inference usually falls i…
The joint graphical lasso for inverse covariance estimation across multiple classes
Patrick Danaher, Pei Wang, Daniela M. Witten
We consider the problem of estimating multiple related but distinct graphical models on the basis of a high-dimensional data set with observations that belong to distinct classes.…
A generalized Fourier approach to estimating the null parameters and proportion of non-null effects in large-scale multiple testing
Jiashun Jin, Jie Peng, Pei Wang
In a recent paper (Efron (2004)), Efron pointed out that an important issue in large-scale multiple hypothesis testing is that the null distribution may be unknown and need to be e…
Learning networks from high dimensional binary data: An application to genomic instability data
Pei Wang, Dennis L. Chao, Li Hsu
Genomic instability, the propensity of aberrations in chromosomes, plays a critical role in the development of many diseases. High throughput genotyping experiments have been perfo…