3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
From local to global gene co-expression estimation using single-cell RNA-seq data
Jinjin Tian, Jing Lei, Kathryn Roeder
In genomics studies, the investigation of the gene relationship often brings important biological insights. Currently, the large heterogeneous datasets impose new challenges for st…
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning
Yixuan Qiu, Jing Lei, Kathryn Roeder
Sparse principal component analysis (PCA) is an important technique for dimensionality reduction of high-dimensional data. However, most existing sparse PCA algorithms are based on…
Global and Local Two-Sample Tests via Regression
Ilmun Kim, Ann B. Lee, Jing Lei
Two-sample testing is a fundamental problem in statistics. Despite its long history, there has been renewed interest in this problem with the advent of high-dimensional and complex…
Fast Exact Conformalization of Lasso using Piecewise Linear Homotopy
Jing Lei
Conformal prediction is a general method that converts almost any point predictor to a prediction set. The resulting set keeps good statistical properties of the original estimator…