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Bioinformatics (Oxford, England)|September 10, 2025
InterVelo: a mutually enhancing model for estimating pseudotime and RNA velocity in multi-omic single-cell dataYurou Wang, Zhixiang Lin, Tao WangBiometrics|January 19, 2017
On joint estimation of Gaussian graphical models for spatial and temporal dataZhixiang Lin, Tao Wang, Can Yang, et al.Behavior Research Methods|September 21, 2022
Using Mokken scaling techniques to explore carelessness in survey researchStefanie Wind, Yurou WangThe Journal of Nursing Education|September 5, 2024
Addressing Nursing Students' Anxiety During Simulation Sessions: A Pilot Intervention StudyYurou Wang, Andrea F SartainPlos Computational Biology|June 2, 2021
coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic dataPengcheng Zeng, Zhixiang LinFrontiers in Genetics|March 3, 2023
iPoLNG-An unsupervised model for the integrative analysis of single-cell multiomics dataWenyu Zhang, Zhixiang LinIEEE/ACM Transactions on Computational Biology and Bioinformatics|August 17, 2023
scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics DataPengcheng Zeng, Zhixiang LinFrontiers in Psychology|October 28, 2021
An Online Experiment During COVID-19: Testing the Influences of Autonomy Support Toward Emotions and Academic PersistenceYurou Wang, Jihong Zhang, Halim LeeBehavior Research Methods|June 13, 2023
A sequential Moken scaling approach to evaluate response quality in survey researchStefanie A Wind, Benjamin Lugu, Yurou WangBriefings in Bioinformatics|December 6, 2020
Coupled co-clustering-based unsupervised transfer learning for the integrative analysis of single-cell genomic dataPengcheng Zeng, Jiaxuan Wangwu, Zhixiang LinPageof 1,489