30 citations · 119 across the 13 of their papers we have counts for
13 papers
HiCat: A Semi-Supervised Approach for Cell Type Annotation
Chang Bi, Kailun Bai, Xing Li +1
We introduce HiCat (Hybrid Cell Annotation using Transformative embeddings), a novel semi-supervised pipeline for annotating cell types from single-cell RNA sequencing data. HiCat…
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…
Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis
Yifeng Bie, Shuai You, Xinrui Li +2
Through a study of multi-gas mixture datasets, we show that in multi-component spectral analysis, the number of functional or non-functional principal components required to retain…
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…