Bayesian analysis of matrix normal graphical models.

Model Selection and Estimation in the Matrix Normal Graphical Model. J Multivar Anal (2012) 0.93

Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data. J Am Stat Assoc (2012) 0.90

SEPARABLE FACTOR ANALYSIS WITH APPLICATIONS TO MORTALITY DATA. Ann Appl Stat (2014) 0.81

Nonparametric spatial models for clustered ordered periodontal data. J R Stat Soc Ser C Appl Stat (2016) 0.75

Sparse covariance estimation in heterogeneous samples. Electron J Stat (2011) 0.75

Empirical Bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian Procrustes problem. Proc Natl Acad Sci U S A (2006) 3.49

Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model. IEEE Trans Biomed Eng (2002) 1.62

Oncogenic pathway signatures in human cancers as a guide to targeted therapies. Nature (2005) 19.56

Gene expression predictors of breast cancer outcomes. Lancet (2003) 6.99

Retracted A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer. N Engl J Med (2006) 6.69

Retracted An integrated genomic-based approach to individualized treatment of patients with advanced-stage ovarian cancer. J Clin Oncol (2007) 5.77

High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics. J Am Stat Assoc (2008) 3.92

Gene expression phenotypic models that predict the activity of oncogenic pathways. Nat Genet (2003) 3.78

Statistical mixture modeling for cell subtype identification in flow cytometry. Cytometry A (2008) 3.06

Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes. Proc Natl Acad Sci U S A (2004) 2.74

Gene expression profiling and genetic markers in glioblastoma survival. Cancer Res (2005) 2.63

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures. J Comput Graph Stat (2010) 2.38

Patterns of gene expression that characterize long-term survival in advanced stage serous ovarian cancers. Clin Cancer Res (2005) 2.37

Gene expression phenotypes of atherosclerosis. Arterioscler Thromb Vasc Biol (2004) 2.23

A genomic strategy to elucidate modules of oncogenic pathway signaling networks. Mol Cell (2009) 2.22

Image segmentation and dynamic lineage analysis in single-cell fluorescence microscopy. Cytometry A (2010) 1.75

Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy. Clin Cancer Res (2006) 1.72

The genomic analysis of lactic acidosis and acidosis response in human cancers. PLoS Genet (2008) 1.60

Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology. Bayesian Anal (2009) 1.58

Genomic prediction of locoregional recurrence after mastectomy in breast cancer. J Clin Oncol (2006) 1.57

Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction. Hum Mol Genet (2003) 1.51

Hierarchical modeling for rare event detection and cell subset alignment across flow cytometry samples. PLoS Comput Biol (2013) 1.35

Lactic acidosis triggers starvation response with paradoxical induction of TXNIP through MondoA. PLoS Genet (2010) 1.34

Distinctions in the specificity of E2F function revealed by gene expression signatures. Proc Natl Acad Sci U S A (2005) 1.34

Origin of bistability underlying mammalian cell cycle entry. Mol Syst Biol (2011) 1.32

Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays. Am J Obstet Gynecol (2004) 1.29

Prediction and uncertainty in the analysis of gene expression profiles. In Silico Biol (2002) 1.27

Distinct gene expression phenotypes of cells lacking Rb and Rb family members. Cancer Res (2003) 1.26

An integrative approach to characterize disease-specific pathways and their coordination: a case study in cancer. BMC Genomics (2008) 1.14

Molecular evidence for arterial repair in atherosclerosis. Proc Natl Acad Sci U S A (2005) 1.09

Efficient Classification-Based Relabeling in Mixture Models. Am Stat (2011) 1.06

Gene expression profiling for prediction of clinical characteristics of breast cancer. Recent Prog Horm Res (2003) 1.04

A bayesian analysis strategy for cross-study translation of gene expression biomarkers. Stat Appl Genet Mol Biol (2009) 1.04

Bayesian analysis of binary prediction tree models for retrospectively sampled outcomes. Biostatistics (2004) 1.02

Prognostic index score and clinical prediction model of local regional recurrence after mastectomy in breast cancer patients. Int J Radiat Oncol Biol Phys (2006) 0.97

Cross-study projections of genomic biomarkers: an evaluation in cancer genomics. PLoS One (2009) 0.96

Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies. Stat Appl Genet Mol Biol (2013) 0.95

Gene expression phenotypes of oncogenic signaling pathways. Cell Cycle (2003) 0.95

Optimization of a highly standardized carboxyfluorescein succinimidyl ester flow cytometry panel and gating strategy design using discriminative information measure evaluation. Cytometry A (2010) 0.92

Selection Sampling from Large Data Sets for Targeted Inference in Mixture Modeling. Bayesian Anal (2010) 0.87

Retraction: A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer. N Engl J Med 2006;355:570-80. N Engl J Med (2011) 0.87

Bayesian Weibull tree models for survival analysis of clinico-genomic data. Stat Methodol (2008) 0.87

Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models. J Comput Graph Stat (2010) 0.86

Computation of steady-state probability distributions in stochastic models of cellular networks. PLoS Comput Biol (2011) 0.86

Productive work and employment for persons with traumatic brain injury: what have we learned after 20 years? J Head Trauma Rehabil (2005) 0.85

Bayesian learning from marginal data in bionetwork models. Stat Appl Genet Mol Biol (2011) 0.81

AN INTEGRATIVE ANALYSIS OF CANCER GENE EXPRESSION STUDIES USING BAYESIAN LATENT FACTOR MODELING. Ann Appl Stat (2009) 0.79

Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing. J Mach Learn Res (2010) 0.78

Model-controlled flooding with applications to image reconstruction and segmentation. J Electron Imaging (2012) 0.77

DIG--a system for gene annotation and functional discovery. Bioinformatics (2005) 0.77

Of cardiovascular illness and diversity of biological response. Trends Cardiovasc Med (2008) 0.76

Development of a high-speed, multiplexed sample-delivery instrument for LC-MS/MS bioanalysis. Bioanalysis (2012) 0.75

An overview of genomic data analysis. Surgery (2004) 0.75