Marina Vannucci

39 papers B 2Journal 36Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
BISON: bi-clustering of spatial omics data with feature selection.
Bioinform.
Bencong Zhu, Alberto Cassese, Marina Vannucci, Michele Guindani, Qiwei Li
2025 J jnl
Bayesian functional graphical models with change-point detection.
Comput. Stat. Data Anal.
Chunshan Liu, Daniel R. Kowal, James Doss-Gollin, Marina Vannucci
2024 J jnl
A Bayesian nonparametric approach for clustering functional trajectories over time.
Stat. Comput.
Mingrui Liang, Matthew D. Koslovsky, Emily T. Hébert, Darla E. Kendzor, Marina Vannucci
2024 J jnl
Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease.
Neuroinformatics
Rongke Lyu, Marina Vannucci, Suprateek Kundu
2024 J jnl
Bayesian temporal biclustering with applications to multi-subject neuroscience studies.
CoRR
Federica Zoe Ricci, Erik B. Sudderth, Jaylen Lee, Megan A. K. Peters, Marina Vannucci, Michele Guindani
2024 B conf
Tensor Decision Trees For High-Resolution Imaging Data.
IEEE Big Data
Zhihao Chen, Hengrui Luo, Suprateek Kundu, Marina Vannucci
2022 J jnl
Dynamic and robust Bayesian graphical models.
Stat. Comput.
Chunshan Liu, Daniel R. Kowal, Marina Vannucci
2022 J jnl
Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM.
J. Comput. Graph. Stat.
Nathan Osborne, Christine B. Peterson, Marina Vannucci
2021 J jnl
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks.
Neuroinformatics
Jeong Hwan Kook, Kelly A. Vaughn, Dana M. DeMaster, Linda Ewing-Cobbs, Marina Vannucci
2020 J jnl
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package.
BMC Bioinform.
Matthew D. Koslovsky, Marina Vannucci
2020 J jnl
MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package.
BMC Bioinform.
Matthew D. Koslovsky, Marina Vannucci
2017 J jnl
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints.
Stat. Anal. Data Min.
Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci
2017 J jnl
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.
BMC Bioinform.
W. Duncan Wadsworth, Raffaele Argiento, Michele Guindani, Jessica Galloway-Pena, Samuel A. Shelburne, Marina Vannucci
2017 J jnl
Bayesian variable selection for a semi-competing risks model with three hazard functions.
Comput. Stat. Data Anal.
Andrew G. Chapple, Marina Vannucci, Peter F. Thall, Steven Lin
2016 J jnl
A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells.
PLoS Comput. Biol.
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, Marina Vannucci, Francesco Falciani
2016 J jnl
KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure.
Bioinform.
Qiwei Li, David B. Dahl, Marina Vannucci, Hyun Joo, Jerry W. Tsai
2016 J jnl
Non-parametric Sampling Approximation via Voronoi Tessellations.
Commun. Stat. Simul. Comput.
Alejandro Villagran, Gabriel Huerta, Marina Vannucci, Charles S. Jackson, Alvaro Nosedal
2016 J jnl
Time-dependence of graph theory metrics in functional connectivity analysis.
NeuroImage
Sharon Chiang, Alberto Cassese, Michele Guindani, Marina Vannucci, Hsiang J. Yeh, Zulfi Haneef, John M. Stern
2014 J jnl
A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses.
NeuroImage
Linlin Zhang, Michele Guindani, Francesco Versace, Marina Vannucci
2013 J jnl
Regularized partial least squares with an application to NMR spectroscopy.
Stat. Anal. Data Min.
Genevera I. Allen, Christine B. Peterson, Marina Vannucci, Mirjana Maletic-Savatic
2013 J jnl
Understanding the general packing rearrangements required for successful template based modeling of protein structure from a CASP experiment.
Comput. Biol. Chem.
Ryan Day, Hyun Joo, Archana G. Chavan, Kristin P. Lennox, Yian Ann Chen, David B. Dahl, Marina Vannucci, Jerry W. Tsai
2012 J jnl
A systems biology approach reveals common metastatic pathways in osteosarcoma.
BMC Syst. Biol.
Ricardo J. Flores, Yiting Li, Alexander Yu, Jianhe Shen, Pulivarthi H. Rao, Serrine S. Lau, Marina Vannucci, Ching C. Lau, Tsz-Kwong Man
2011 J jnl
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors.
Comput. Stat. Data Anal.
Deukwoo Kwon, Maria Teresa Landi, Marina Vannucci, Haleem J. Issaq, DaRue Prieto, Ruth M. Pfeiffer
2011 J jnl
Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity.
PLoS Comput. Biol.
Hyun Joo, Archana G. Chavan, Ryan Day, Kristin P. Lennox, Paul Sukhanov, David B. Dahl, Marina Vannucci, Jerry W. Tsai
2011 J jnl
Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data.
Bioinform.
Francesco C. Stingo, Marina Vannucci
2010 J jnl
Biosensor Approach to Psychopathology Classification.
PLoS Comput. Biol.
Misha Koshelev, Terry Lohrenz, Marina Vannucci, P. Read Montague
2010 J jnl
Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure.
Bioinform.
Ryan Day, Kristin P. Lennox, David B. Dahl, Marina Vannucci, Jerry W. Tsai
2008 J jnl
Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data.
Bioinform.
Alejandro Cruz-Marcelo, Rudy Guerra, Marina Vannucci, Yiting Li, Ching C. Lau, Tsz-Kwong Man
2007 J jnl
Detecting protein dissimilarities in multiple alignments using Bayesian variable selection.
Bioinform.
Sinae Kim, Jerry W. Tsai, Ioannis Kagiampakis, Patricia LiWang, Marina Vannucci
2006 J jnl
Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter.
IEEE Trans. Signal Process.
Kyungduk Ko, Marina Vannucci
2006 J jnl
Bayesian variable selection for the analysis of microarray data with censored outcomes.
Bioinform.
Naijun Sha, Mahlet G. Tadesse, Marina Vannucci
2006 J jnl
Wavelet Methods for the Detection of Anomalies and their Application to Network Traffic Analysis.
Qual. Reliab. Eng. Int.
Deukwoo Kwon, Kyungduk Ko, Marina Vannucci, A. L. Narasimha Reddy, S. Kim
2005 J jnl
Wavelet tests for the detection of transients in the VIRGO interferometric gravitational wave detector.
IEEE Trans. Instrum. Meas.
Leonardo Fabbroni, Marina Vannucci, Elena Cuoco, Giovanni Losurdo, Massimo Mazzoni, Ruggero Stanga
2004 — conf
Detecting Traffic Anomalies Using Discrete Wavelet Transform.
ICOIN
Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannucci
2004 B conf
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data.
NETWORKING
Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannucci
2004 J jnl
Identification of DNA regulatory motifs using Bayesian variable selection.
Bioinform.
Mahlet G. Tadesse, Marina Vannucci, Pietro Liò
2003 J jnl
Gene selection: a Bayesian variable selection approach.
Bioinform.
Kyeong Eun Lee, Naijun Sha, Edward R. Dougherty, Marina Vannucci, Bani K. Mallick
2000 J jnl
Finding pathogenicity islands and gene transfer events in genome data.
Bioinform.
Pietro Liò, Marina Vannucci
2000 J jnl
Wavelet change-point prediction of transmembrane proteins.
Bioinform.
Pietro Liò, Marina Vannucci