Integrated Principal Components Analysis | 0 | 0.34 | 2021 |
Integrative Generalized Convex Clustering Optimization And Feature Selection For Mixed Multi-View Data | 0 | 0.34 | 2021 |
Sparse and Functional Principal Components Analysis | 2 | 0.43 | 2019 |
Tensor network factorizations: Relationships between brain structural connectomes and traits | 5 | 0.46 | 2019 |
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization. | 1 | 0.37 | 2019 |
Graphical Models and Dynamic Latent Factors for Modeling Functional Brain Connectivity | 0 | 0.34 | 2019 |
Clustered Gaussian Graphical Model Via Symmetric Convex Clustering | 0 | 0.34 | 2019 |
Detecting hidden batch factors through data-adaptive adjustment for biological effects. | 1 | 0.43 | 2018 |
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools. | 0 | 0.34 | 2017 |
Population Inference for Node Level Differences in Multi-subject Functional Connectivity | 0 | 0.34 | 2015 |
Comments on “visualizing statistical models”: Visualizing modern statistical methods for Big Data | 0 | 0.34 | 2015 |
Mixed Graphical Models via Exponential Families. | 12 | 1.02 | 2014 |
Conditional Random Fields via Univariate Exponential Families. | 2 | 0.51 | 2013 |
Randomized Approach to Differential Inference in Multi-subject Functional Connectivity. | 0 | 0.34 | 2013 |
Local-Aggregate Modeling for Multi-subject Neuroimage Data via Distributed Optimization | 0 | 0.34 | 2013 |
Regularized partial least squares with an application to NMR spectroscopy. | 3 | 0.47 | 2013 |
On Poisson Graphical Models. | 12 | 0.75 | 2013 |
A Log-Linear Graphical Model for inferring genetic networks from high-throughput sequencing data | 8 | 0.95 | 2012 |
Sparse Higher-Order Principal Components Analysis | 0 | 0.34 | 2012 |
Graphical Models via Generalized Linear Models. | 34 | 1.77 | 2012 |
Sparse non-negative generalized PCA with applications to metabolomics | 9 | 0.64 | 2011 |