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ORCIDMarina Vannucci
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- affiliation: Rice University, Houston, TX, USA
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2020 – today
- 2024
[i1]Federica Zoe Ricci, Erik B. Sudderth, Jaylen Lee, Megan A. K. Peters, Marina Vannucci, Michele Guindani:
Bayesian temporal biclustering with applications to multi-subject neuroscience studies. CoRR abs/2406.17131 (2024)- 2022
- [j31]Nathan Osborne, Christine B. Peterson
, Marina Vannucci:
Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM. J. Comput. Graph. Stat. 31(1): 163-175 (2022) - [j30]Chunshan Liu, Daniel R. Kowal, Marina Vannucci:
Dynamic and robust Bayesian graphical models. Stat. Comput. 32(6): 105 (2022) - 2021
- [j29]Jeong Hwan Kook, Kelly A. Vaughn, Dana M. DeMaster, Linda Ewing-Cobbs, Marina Vannucci:
BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. Neuroinformatics 19(1): 39-56 (2021) - 2020
- [j28]Matthew D. Koslovsky, Marina Vannucci:
MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package. BMC Bioinform. 21(1): 301 (2020) - [j27]Matthew D. Koslovsky, Marina Vannucci:
Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package. BMC Bioinform. 21(1): 585 (2020)
2010 – 2019
- 2017
- [j26]W. Duncan Wadsworth, Raffaele Argiento, Michele Guindani, Jessica Galloway-Pena, Samuel A. Shelburne, Marina Vannucci:
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. BMC Bioinform. 18(1): 94:1-94:12 (2017) - [j25]Andrew G. Chapple, Marina Vannucci, Peter F. Thall, Steven Lin:
Bayesian variable selection for a semi-competing risks model with three hazard functions. Comput. Stat. Data Anal. 112: 170-185 (2017) - [j24]Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci:
A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. Stat. Anal. Data Min. 10(6): 393-409 (2017) - 2016
- [j23]Qiwei Li, David B. Dahl, Marina Vannucci, Hyun Joo, Jerry W. Tsai:
KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure. Bioinform. 32(24): 3774-3781 (2016) - [j22]Alejandro Villagran, Gabriel Huerta, Marina Vannucci, Charles S. Jackson, Alvaro Nosedal:
Non-parametric Sampling Approximation via Voronoi Tessellations. Commun. Stat. Simul. Comput. 45(2): 717-736 (2016) - [j21]Sharon Chiang, Alberto Cassese, Michele Guindani, Marina Vannucci, Hsiang J. Yeh, Zulfi Haneef, John M. Stern:
Time-dependence of graph theory metrics in functional connectivity analysis. NeuroImage 125: 601-615 (2016) - [j20]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:
A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells. PLoS Comput. Biol. 12(4) (2016) - 2014
- [j19]Linlin Zhang, Michele Guindani, Francesco Versace, Marina Vannucci:
A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses. NeuroImage 95: 162-175 (2014) - 2013
- [j18]Ryan Day, Hyun Joo, Archana G. Chavan, Kristin P. Lennox, Yian Ann Chen, David B. Dahl, Marina Vannucci, Jerry W. Tsai:
Understanding the general packing rearrangements required for successful template based modeling of protein structure from a CASP experiment. Comput. Biol. Chem. 42: 40-48 (2013) - [j17]Genevera I. Allen, Christine B. Peterson, Marina Vannucci, Mirjana Maletic-Savatic:
Regularized partial least squares with an application to NMR spectroscopy. Stat. Anal. Data Min. 6(4): 302-314 (2013) - 2012
- [j16]Ricardo J. Flores, Yiting Li, Alexander Yu, Jianhe Shen, Pulivarthi H. Rao, Serrine S. Lau, Marina Vannucci, Ching C. Lau, Tsz-Kwong Man:
A systems biology approach reveals common metastatic pathways in osteosarcoma. BMC Syst. Biol. 6: 50 (2012) - 2011
- [j15]Francesco C. Stingo, Marina Vannucci:
Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data. Bioinform. 27(4): 495-501 (2011) - [j14]Deukwoo Kwon, Maria Teresa Landi, Marina Vannucci, Haleem J. Issaq, DaRue Prieto, Ruth M. Pfeiffer:
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors. Comput. Stat. Data Anal. 55(10): 2807-2818 (2011) - [j13]Hyun Joo, Archana G. Chavan, Ryan Day, Kristin P. Lennox, Paul Sukhanov, David B. Dahl, Marina Vannucci, Jerry W. Tsai:
Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity. PLoS Comput. Biol. 7(10) (2011) - 2010
- [j12]Ryan Day, Kristin P. Lennox, David B. Dahl, Marina Vannucci, Jerry W. Tsai:
Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure. Bioinform. 26(24): 3059-3066 (2010) - [j11]Misha Koshelev, Terry Lohrenz, Marina Vannucci, P. Read Montague:
Biosensor Approach to Psychopathology Classification. PLoS Comput. Biol. 6(10) (2010)
2000 – 2009
- 2008
- [j10]Alejandro Cruz-Marcelo, Rudy Guerra, Marina Vannucci, Yiting Li, Ching C. Lau, Tsz-Kwong Man:
Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data. Bioinform. 24(19): 2129-2136 (2008) - 2007
- [j9]Sinae Kim, Jerry W. Tsai, Ioannis Kagiampakis, Patricia LiWang, Marina Vannucci:
Detecting protein dissimilarities in multiple alignments using Bayesian variable selection. Bioinform. 23(2): 245-246 (2007) - 2006
- [j8]Naijun Sha, Mahlet G. Tadesse, Marina Vannucci:
Bayesian variable selection for the analysis of microarray data with censored outcomes. Bioinform. 22(18): 2262-2268 (2006) - [j7]Deukwoo Kwon, Kyungduk Ko, Marina Vannucci, A. L. Narasimha Reddy, S. Kim:
Wavelet Methods for the Detection of Anomalies and their Application to Network Traffic Analysis. Qual. Reliab. Eng. Int. 22(8): 953-969 (2006) - [j6]Kyungduk Ko, Marina Vannucci:
Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter. IEEE Trans. Signal Process. 54(11): 4461-4470 (2006) - 2005
- [j5]Leonardo Fabbroni, Marina Vannucci, Elena Cuoco, Giovanni Losurdo, Massimo Mazzoni, Ruggero Stanga:
Wavelet tests for the detection of transients in the VIRGO interferometric gravitational wave detector. IEEE Trans. Instrum. Meas. 54(1): 151-162 (2005) - 2004
- [j4]Mahlet G. Tadesse, Marina Vannucci, Pietro Liò:
Identification of DNA regulatory motifs using Bayesian variable selection. Bioinform. 20(16): 2553-2561 (2004) - [c2]Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannucci:
Detecting Traffic Anomalies Using Discrete Wavelet Transform. ICOIN 2004: 951-961 - [c1]Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannucci:
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data. NETWORKING 2004: 1047-1059 - 2003
- [j3]Kyeong Eun Lee, Naijun Sha, Edward R. Dougherty, Marina Vannucci, Bani K. Mallick:
Gene selection: a Bayesian variable selection approach. Bioinform. 19(1): 90-97 (2003) - 2000
- [j2]Pietro Liò, Marina Vannucci:
Wavelet change-point prediction of transmembrane proteins. Bioinform. 16(4): 376-382 (2000) - [j1]Pietro Liò, Marina Vannucci:
Finding pathogenicity islands and gene transfer events in genome data. Bioinform. 16(10): 932-940 (2000)
Coauthor Index
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