54 citations · 208 across the 29 of their papers we have counts for
5 papers · 1 filter
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data
Li Zeng, Zhaolong Yu, Yiliang Zhang +1
Predictive modeling based on genomic data has gained popularity in biomedical research and clinical practice by allowing researchers and clinicians to identify biomarkers and tailo…
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
Zhongruo Wang, Bingyuan Liu, Shixiang Chen +3
Spectral clustering is one of the fundamental unsupervised learning methods widely used in data analysis. Sparse spectral clustering (SSC) imposes sparsity to the spectral clusteri…
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang, Arash Pakbin, Bobak J. Mortazavi +2
The proliferation of medical monitoring devices makes it possible to track health vitals at high frequency, enabling the development of dynamic health risk scores that change with…
A pathway-based kernel boosting method for sample classification using genomic data
Li Zeng, Zhaolong Yu, Hongyu Zhao
The analysis of cancer genomic data has long suffered "the curse of dimensionality". Sample sizes for most cancer genomic studies are a few hundreds at most while there are tens of…
Posterior Contraction Rates of the Phylogenetic Indian Buffet Processes
Mengjie Chen, Chao Gao, Hongyu Zhao
By expressing prior distributions as general stochastic processes, nonparametric Bayesian methods provide a flexible way to incorporate prior knowledge and constrain the latent str…