Finding pathogenicity islands and gene transfer events in genome data. - Pietro Liò; Marina Vannucci (Bioinform., 2000)

Wavelet change-point prediction of transmembrane proteins. - Pietro Liò; Marina Vannucci (Bioinform., 2000)

Gene selection: a Bayesian variable selection approach. - Kyeong Eun Lee; Naijun Sha; Edward R. Dougherty; Marina Vannucci; Bani K. Mallick (Bioinform., 2003)

Detecting Traffic Anomalies Using Discrete Wavelet Transform. - Seong Soo Kim; A. L. Narasimha Reddy; Marina Vannucci (ICOIN, 2004)

Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data. - Seong Soo Kim; A. L. Narasimha Reddy; Marina Vannucci (NETWORKING, 2004)

Identification of DNA regulatory motifs using Bayesian variable selection. - Mahlet G. Tadesse; Marina Vannucci; Pietro Liò (Bioinform., 2004)

Wavelet tests for the detection of transients in the VIRGO interferometric gravitational wave detector. - Leonardo Fabbroni; Marina Vannucci; Elena Cuoco; Giovanni Losurdo; Massimo Mazzoni; Ruggero Stanga (IEEE Trans. Instrum. Meas., 2005)

Bayesian variable selection for the analysis of microarray data with censored outcomes. - Naijun Sha; Mahlet G. Tadesse; Marina Vannucci (Bioinform., 2006)

Wavelet Methods for the Detection of Anomalies and their Application to Network Traffic Analysis. - Deukwoo Kwon; Kyungduk Ko; Marina Vannucci; A. L. Narasimha Reddy; S. Kim (Qual. Reliab. Eng. Int., 2006)

Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter. - Kyungduk Ko; Marina Vannucci (IEEE Trans. Signal Process., 2006)

Detecting protein dissimilarities in multiple alignments using Bayesian variable selection. - Sinae Kim; Jerry W. Tsai; Ioannis Kagiampakis; Patricia LiWang; Marina Vannucci (Bioinform., 2007)

Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data. - Alejandro Cruz-Marcelo; Rudy Guerra; Marina Vannucci; Yiting Li; Ching C. Lau; Tsz-Kwong Man (Bioinform., 2008)

Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure. - Ryan Day; Kristin P. Lennox; David B. Dahl; Marina Vannucci; Jerry W. Tsai (Bioinform., 2010)

Biosensor Approach to Psychopathology Classification. - Misha Koshelev; Terry Lohrenz; Marina Vannucci; P. Read Montague (PLoS Comput. Biol., 2010)

Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data. - Francesco C. Stingo; Marina Vannucci (Bioinform., 2011)

An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors. - Deukwoo Kwon; Maria Teresa Landi; Marina Vannucci; Haleem J. Issaq; DaRue Prieto; Ruth M. Pfeiffer (Comput. Stat. Data Anal., 2011)

Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity. - Hyun Joo; Archana G. Chavan; Ryan Day; Kristin P. Lennox; Paul Sukhanov; David B. Dahl; Marina Vannucci; Jerry W. Tsai (PLoS Comput. Biol., 2011)

A systems biology approach reveals common metastatic pathways in osteosarcoma. - Ricardo J. Flores; Yiting Li; Alexander Yu; Jianhe Shen; Pulivarthi H. Rao; Serrine S. Lau; Marina Vannucci; Ching C. Lau; Tsz-Kwong Man (BMC Syst. Biol., 2012)

Understanding the general packing rearrangements required for successful template based modeling of protein structure from a CASP experiment. - Ryan Day; Hyun Joo; Archana G. Chavan; Kristin P. Lennox; Yian Ann Chen; David B. Dahl; Marina Vannucci; Jerry W. Tsai (Comput. Biol. Chem., 2013)

Regularized partial least squares with an application to NMR spectroscopy. - Genevera I. Allen; Christine B. Peterson; Marina Vannucci; Mirjana Maletic-Savatic (Stat. Anal. Data Min., 2013)

A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses. - Linlin Zhang; Michele Guindani; Francesco Versace; Marina Vannucci (NeuroImage, 2014)

KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure. - Qiwei Li 001; David B. Dahl; Marina Vannucci; Hyun Joo; Jerry W. Tsai (Bioinform., 2016)

Non-parametric Sampling Approximation via Voronoi Tessellations. - Alejandro Villagran; Gabriel Huerta; Marina Vannucci; Charles S. Jackson; Alvaro Nosedal (Commun. Stat. Simul. Comput., 2016)

Time-dependence of graph theory metrics in functional connectivity analysis. - Sharon Chiang; Alberto Cassese; Michele Guindani; Marina Vannucci; Hsiang J. Yeh; Zulfi Haneef; John M. Stern (NeuroImage, 2016)

A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells. - Victor Trevino; Alberto Cassese; Zsuzsanna Nagy; Xiaodong Zhuang; John M. Herbert; Philipp Antzack; Kim Clarke; Nicholas Davies; Ayesha Rahman; Moray J. Campbell; Michele Guindani; Roy Bicknell; et al. (PLoS Comput. Biol., 2016)

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. - W. Duncan Wadsworth; Raffaele Argiento; Michele Guindani; Jessica Galloway-Pena; Samuel A. Shelburne; Marina Vannucci (BMC Bioinform., 2017)

Bayesian variable selection for a semi-competing risks model with three hazard functions. - Andrew G. Chapple; Marina Vannucci; Peter F. Thall; Steven Lin (Comput. Stat. Data Anal., 2017)

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. - Qiwei Li 001; Michele Guindani; Brian J. Reich; Howard D. Bondell; Marina Vannucci (Stat. Anal. Data Min., 2017)

MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package. - Matthew D. Koslovsky; Marina Vannucci (BMC Bioinform., 2020)

Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package. - Matthew D. Koslovsky; Marina Vannucci (BMC Bioinform., 2020)

BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. - Jeong Hwan Kook; Kelly A. Vaughn; Dana M. DeMaster; Linda Ewing-Cobbs; Marina Vannucci (Neuroinformatics, 2021)

Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM. - Nathan Osborne; Christine B. Peterson; Marina Vannucci (J. Comput. Graph. Stat., 2022)

Dynamic and robust Bayesian graphical models. - Chunshan Liu; Daniel R. Kowal; Marina Vannucci (Stat. Comput., 2022)

Tensor Decision Trees For High-Resolution Imaging Data. - Zhihao Chen; Hengrui Luo; Suprateek Kundu; Marina Vannucci (IEEE Big Data, 2024)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies. - Federica Zoe Ricci; Erik B. Sudderth; Jaylen Lee; Megan A. K. Peters; Marina Vannucci; Michele Guindani (CoRR, 2024)

Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease. - Rongke Lyu; Marina Vannucci; Suprateek Kundu (Neuroinformatics, 2024)

A Bayesian nonparametric approach for clustering functional trajectories over time. - Mingrui Liang; Matthew D. Koslovsky; Emily T. Hébert; Darla E. Kendzor; Marina Vannucci (Stat. Comput., 2024)

Bayesian functional graphical models with change-point detection. - Chunshan Liu; Daniel R. Kowal; James Doss-Gollin; Marina Vannucci (Comput. Stat. Data Anal., 2025)