Yuping Zhang
Associate Professor/Statistics
Storrs Mansfield
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Scholarly Contributions
64 Scholarly Contributions
Integrative network learning from correlated multi-view data
2020
Research Type: Poster/Presentation
Iterative integrated imputation for missing data and pathway models with applications to breast cancer subtypes
2019
Research Type: Journal Article
JPTA: Joint Principal Trend Analysis for multiple longitudinal data
2018
Research Type: Technology
https://sites.google.com/site/statyuping/software/jpta
Joint Principal Trend Analysis for Longitudinal High-Dimensional Data
2018
Research Type: Poster/Presentation
Joint Principal Trend Analysis for Longitudinal High-dimensional Data Integration
2019
Research Type: Poster/Presentation
Joint estimation of heterogeneous exponential Markov Random Fields through an approximate likelihood inference
2020
Research Type: Journal Article
Joint principal trend analysis for longitudinal high-dimensional data
2018
Research Type: Journal Article
Joint principal trend analysis for longitudinal high-dimensional data with applications in genomics
2018
Research Type: Poster/Presentation
Kinetic behavior of the general modifier mechanism of Botts and Morales with non-equilibrium binding
2012
Research Type: Journal Article
LISA: Accurate reconstruction of cell trajectory and pseudo-time for massive single cell RNA-seq data
Research Type: Conference Proceedings
Lagged principal trend analysis for longitudinal high-dimensional data
2019
Research Type: Journal Article
Leveraging diverse biomedical data to elucidate complex diseases via statistical learning
2016
Research Type: Poster/Presentation
Leveraging diverse omics data to infer regulations in complex diseases
2016
Research Type: Poster/Presentation
Leveraging multiple omics data to infer pathway disturbance in complex diseases
2015
Research Type: Poster/Presentation
Leveraging multiple omics data to infer pathway disturbances across cancers
2016
Research Type: Poster/Presentation
Nonparametric Bayesian Biclustering for
Longitudinal High-dimensional Data
2018
Research Type: Poster/Presentation