30 citations · 115 across the 12 of their papers we have counts for
12 papers
Minor Issues Escalated to Critical Levels in Large Samples: A Permutation-Based Fix
Xuekui Zhang, Li Xing, Jing Zhang +1
In the big data era, the need to reevaluate traditional statistical methods is paramount due to the challenges posed by vast datasets. While larger samples theoretically enhance ac…
BOSS -- Biomarker Optimal Segmentation System
Liuyi Lan, Xuanjin Cheng, Li Xing +1
Motivation: Precision medicine is a major trend in the future of medicine. It aims to provide tailored medical treatment and prevention strategies based on an individual's unique c…
Novel Modelling Strategies for High-frequency Stock Trading Data
Xuekui Zhang, Yuying Huang, Ke Xu +1
Full electronic automation in stock exchanges has recently become popular, generating high-frequency intraday data and motivating the development of near real-time price forecastin…
Dynamics of Fecal Coliform Bacteria along Canada's Coast
Shuai You, Xiaolin Huang, Li Xing +7
The vast coastline provides Canada with a flourishing seafood industry including bivalve shellfish production. To sustain a healthy bivalve molluscan shellfish production, the Cana…
A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data
Xiaowen Cao, Li Xing, Elham Majd +3
Background: Single-cell RNA sequencing (scRNA-seq) yields valuable insights about gene expression and gives critical information about complex tissue cellular composition. In the a…
Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition
Yang Guo, Xuekui Zhang, Fatemeh Esfahani +3
Mining dense subgraphs where vertices connect closely with each other is a common task when analyzing graphs. A very popular notion in subgraph analysis is core decomposition. Rece…
Handling highly correlated genes in prediction analysis of genomic studies
Li Xing, Songwan Joun, Kurt Mackay +2
Background: Selecting feature genes to predict phenotypes is one of the typical tasks in analyzing genomics data. Though many general-purpose algorithms were developed for predicti…
The Optimal Design of Clinical Trials with Potential Biomarker Effects, A Novel Computational Approach
Yitao Lu, Julie Zhou, Li Xing +1
As a future trend of healthcare, personalized medicine tailors medical treatments to individual patients. It requires to identify a subset of patients with the best response to tre…
Optimal Study Design for Reducing Variances of Coefficient Estimators in Change-Point Models
Li Xing, Xuekui Zhang, Ardo van den Hout +2
In longitudinal studies, we observe measurements of the same variables at different time points to track the changes in their pattern over time. In such studies, scheduling of the…
Logistic Box-Cox Regression to Assess the Shape and Median Effect under Uncertainty about Model Specification
Li Xing, Xuekui Zhang, Igor Burstyn +1
The shape of the relationship between a continuous exposure variable and a binary disease variable is often central to epidemiologic investigations. This paper investigates a numbe…
Simultaneous prediction of multiple outcomes using revised stacking algorithms
Li Xing, Mary Lesperance, Xuekui Zhang
Motivation: HIV is difficult to treat because its virus mutates at a high rate and mutated viruses easily develop resistance to existing drugs. If the relationships between mutatio…
Model-based clustering for identifying disease-associated SNPs in case-control genome-wide association studies
Yan Xu, Li Xing, Jessica Su +2
Genome-wide association studies (GWASs) aim to detect genetic risk factors for complex human diseases by identifying disease-associated single-nucleotide polymorphisms (SNPs). The…