According to our database1, Marina Vannucci
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A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints.
Statistical Analysis and Data Mining, 2017
Bayesian variable selection for a semi-competing risks model with three hazard functions.
Computational Statistics & Data Analysis, 2017
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.
BMC Bioinformatics, 2017
Time-dependence of graph theory metrics in functional connectivity analysis.
Non-parametric Sampling Approximation via Voronoi Tessellations.
Communications in Statistics - Simulation and Computation, 2016
KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure.
A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses.
Regularized partial least squares with an application to NMR spectroscopy.
Statistical Analysis and Data Mining, 2013
Understanding the general packing rearrangements required for successful template based modeling of protein structure from a CASP experiment.
Computational Biology and Chemistry, 2013
A systems biology approach reveals common metastatic pathways in osteosarcoma.
BMC Systems Biology, 2012
Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity.
PLoS Computational Biology, 2011
An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors.
Computational Statistics & Data Analysis, 2011
Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data.
Biosensor Approach to Psychopathology Classification.
PLoS Computational Biology, 2010
Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure.
Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data.
Detecting protein dissimilarities in multiple alignments using Bayesian variable selection.
Wavelet Methods for the Detection of Anomalies and their Application to Network Traffic Analysis.
Quality and Reliability Eng. Int., 2006
Bayesian variable selection for the analysis of microarray data with censored outcomes.
Wavelet tests for the detection of transients in the VIRGO interferometric gravitational wave detector.
IEEE Trans. Instrumentation and Measurement, 2005
Identification of DNA regulatory motifs using Bayesian variable selection.
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data.
Proceedings of the NETWORKING 2004, 2004
Detecting Traffic Anomalies Using Discrete Wavelet Transform.
Proceedings of the Information Networking, 2004
Gene selection: a Bayesian variable selection approach.
Wavelet change-point prediction of transmembrane proteins.
Finding pathogenicity islands and gene transfer events in genome data.