Marina Vannucci

Texas A & M University, College Station, TX, United States 
"Marina Vannucci"


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Chun G. Park grad student 2003 Texas A & M
Kyungduk Ko grad student 2004 Texas A & M
Deukwoo Kwon grad student 2005 Texas A & M
Sinae Kim grad student 2006 Texas A & M
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Fischer-Baum S, Kook JH, Lee Y, et al. (2018) Individual Differences in the Neural and Cognitive Mechanisms of Single Word Reading. Frontiers in Human Neuroscience. 12: 271
Li Q, Dahl DB, Vannucci M, et al. (2016) KScons: A Bayesian Approach for Protein Residue Contact Prediction using the Knob-Socket Model of Protein Tertiary Structure. Bioinformatics (Oxford, England)
Trevino V, Cassese A, Nagy Z, et al. (2016) A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells. Plos Computational Biology. 12: e1004884
Chiang S, Cassese A, Guindani M, et al. (2015) Time-dependence of graph theory metrics in functional connectivity analysis. Neuroimage
Peterson CB, Stingo FC, Vannucci M. (2015) Joint Bayesian variable and graph selection for regression models with network-structured predictors. Statistics in Medicine
Waters A, Fronczyk K, Guindani M, et al. (2015) A Bayesian Nonparametric Approach for the Analysis of Multiple Categorical Item Responses. Journal of Statistical Planning and Inference. 166: 52-66
Peterson CB, Stingo FC, Vannucci M. (2015) Bayesian Inference of Multiple Gaussian Graphical Models. Journal of the American Statistical Association. 110: 159-174
Cassese A, Guindani M, Antczak P, et al. (2015) A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants. Biometrics. 71: 803-11
Zhang L, Guindani M, Vannucci M. (2015) Bayesian Models for fMRI Data Analysis. Wiley Interdisciplinary Reviews. Computational Statistics. 7: 21-41
Rembach A, Stingo FC, Peterson C, et al. (2015) Bayesian graphical network analyses reveal complex biological interactions specific to Alzheimer's disease. Journal of Alzheimer's Disease : Jad. 44: 917-25
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