activity
20142021
most citedFalse Discovery Rate Control for High-Dimensional Networks of Quantile Associations Conditioning on Covariates

10 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2021★ 1 cited

Distance Assisted Recursive Testing

Xuechan Li, Anthony Sung, Jichun Xie

In many applications, a large number of features are collected with the goal to identify a few important ones. Sometimes, these features lie in a metric space with a known distance…

stat.ME2019

TEAM: A Multiple Testing Algorithm on the Aggregation Tree for Flow Cytometry Analysis

John Pura, Xuechan Li, Cliburn Chan +1

In immunology studies, flow cytometry is a commonly used multivariate single-cell assay. One key goal in flow cytometry analysis is to pinpoint the immune cells responsive to certa…

stat.ME2016★ 10 cited

False Discovery Rate Control for High-Dimensional Networks of Quantile Associations Conditioning on Covariates

Jichun Xie, Ruosha Li

Motivated by the gene co-expression pattern analysis, we propose a novel sample quantile-based contingency (squac) statistic to infer quantile associations conditioning on covariat…

stat.ME2016

High Dimensional Tests for Functional Networks of Brain Anatomic Regions

Jichun Xie, Jian Kang

There has been increasing interests in learning resting-state brain functional connectivity of autism disorders using functional magnetic resonance imaging (fMRI) data. The data in…

stat.ME2014★ 1 cited

PenPC: A Two-step Approach to Estimate the Skeletons of High Dimensional Directed Acyclic Graphs

Min Jin Ha, Wei Sun, Jichun Xie

Estimation of the skeleton of a directed acyclic graph (DAG) is of great importance for understanding the underlying DAG and causaleffects can be assessed from the skeleton when th…