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Marina Vannucci
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Publications
- 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) - 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) - [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) - [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) - 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) - 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) - 2004
- [j4]Mahlet G. Tadesse, Marina Vannucci, Pietro Liò:
Identification of DNA regulatory motifs using Bayesian variable selection. Bioinform. 20(16): 2553-2561 (2004) - 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)
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