activity
20112017
most citedLearning Structural Changes of Gaussian Graphical Models in Controlled Experiments

15 citations · 22 across the 4 of their papers we have counts for

collaborators

7 papers

stat.ML2017★ 7 cited

Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization

Chia-Hsiang Lin, Ruiyuan Wu, Wing-Kin Ma +2

Consider a structured matrix factorization model where one factor is restricted to have its columns lying in the unit simplex. This simplex-structured matrix factorization (SSMF) m…

q-bio.QM2014

A Statistical Approach to Identifying Significant Transgenerational Methylation Changes

Ye Tian, Yi Fu, Guoqiang Yu +2

Epigenetic aberrations have profound effects on phenotypic output. Genome wide methylation alterations are inheritable to pass down the aberrations through multiple generations. We…

q-bio.QM2014

A feasible roadmap for developing volumetric probability atlas of localized prostate cancer

Liang Zhao, Jianhua Xuan, Yue Wang

A statistical volumetric model, showing the probability map of localized prostate cancer within the host anatomical structure, has been developed from 90 optically-imaged surgical…

q-bio.GN2013

A feasible roadmap to identifying significant intercellular genomic heterogeneity in deep sequencing data

Guoqiang Yu, Roger R. Wang, Sean S. Wang +2

Intercellular heterogeneity serves as both a confounding factor in studying individual clones and an information source in characterizing any heterogeneous tissues, such as blood,…

q-bio.MN2013

Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks

Ye Tian, Bai Zhang, Eric P. Hoffman +6

Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells.…

cs.LG2012★ 15 cited

Learning Structural Changes of Gaussian Graphical Models in Controlled Experiments

Bai Zhang, Yue Wang

Graphical models are widely used in scienti fic and engineering research to represent conditional independence structures between random variables. In many controlled experiments,…