List of works - Marina Vannucci

A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE.

scientific article published on January 2010

A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD

article

A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization

scientific article

A Bayesian Nonparametric Approach for the Analysis of Multiple Categorical Item Responses

scientific article

A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles

scientific article

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints

scientific article published on 8 June 2017

A DIRICHLET PROCESS MIXTURE OF HIDDEN MARKOV MODELS FOR PROTEIN STRUCTURE PREDICTION

scientific article

A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells

scientific article published on 28 April 2016

A bayesian hierarchical model for classification with selection of functional predictors

scientific article

A bayesian integrative model for genetical genomics with spatially informed variable selection.

scientific article published on 21 September 2014

A chemoprotective fish oil- and pectin-containing diet temporally alters gene expression profiles in exfoliated rat colonocytes throughout oncogenesis.

scientific article

A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data

scientific article published in January 2018

A microarray analysis of sex- and gonad-biased gene expression in the zebrafish: evidence for masculinization of the transcriptome

scientific article

A novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise

scientific article

A predictor-informed multi-subject bayesian approach for dynamic functional connectivity

scientific article published on 16 May 2024

A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses

scientific article

A systems biology approach reveals common metastatic pathways in osteosarcoma ⬇️

scientific article published on May 28, 2012

A wavelet-based Bayesian approach to regression models with long memory errors and its application to FMRI data

scientific article

An Integrative Bayesian Modeling Approach to Imaging Genetics

scientific article

An Introduction to High-Throughput Bioinformatics Data

An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors ⬇️

scientific article published on October 1, 2011

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.

scientific article

Analysis of normal-tumour tissue interaction in tumours: prediction of prostate cancer features from the molecular profile of adjacent normal cells

scientific article

Assessing side-chain perturbations of the protein backbone: a knowledge-based classification of residue Ramachandran space.

scientific article

BAYESIAN WAVELET-BASED CURVE CLASSIFICATION VIA DISCRIMINANT ANALYSIS WITH MARKOV RANDOM TREE PRIORS.

scientific article published on April 2012

BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks

scientific article published on 05 June 2020

Bayesian Analysis of Cell Cycle Gene Expression Data

article

Bayesian Models for fMRI Data Analysis

scientific article

Bayesian estimation of genomic copy number with single nucleotide polymorphism genotyping arrays ⬇️

scientific article published on December 30, 2010

Bayesian model of protein primary sequence for secondary structure prediction.

scientific article

Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease

scientific article published on 06 February 2020

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data

scientific article published on 19 September 2018

Bayesian variable selection for a semi-competing risks model with three hazard functions

scientific article published on 22 March 2017

Bayesian variable selection for the analysis of microarray data with censored outcomes

scientific article

Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage

scientific article published in September 2004

Biosensor Approach to Psychopathology Classification ⬇️

scientific article published on October 21, 2010

Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure ⬇️

scientific article published on November 2, 2010

Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data

scientific article

Conservation of unfavorable sequence motifs that contribute to the chemokine quaternary state

scientific article published on 10 September 2008

Decomposing intra-subject variability in children with attention-deficit/hyperactivity disorder

scientific article published on 18 April 2008

Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics.

scientific article

Detecting protein dissimilarities in multiple alignments using Bayesian variable selection.

scientific article

Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability.

scientific article

Erratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data

scientific article published on 23 March 2017

Gene expression profiling of long-term changes in rat liver following burn injury

scientific article published on 28 August 2007

Gene selection in arthritis classification with large-scale microarray expression profiles

scientific article

Gene selection: a Bayesian variable selection approach

scientific article published on January 2003

INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES.

scientific article published on September 2011

Identification of DNA regulatory motifs using Bayesian variable selection

scientific article

Identifying biomarkers from mass spectrometry data with ordinal outcome

scientific article

Increased proliferative cells in the medullary thick ascending limb of the loop of Henle in the Dahl salt-sensitive rat

scientific article

Individual Differences in the Neural and Cognitive Mechanisms of Single Word Reading.

scientific article

Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors

scientific article published on October 2013

Information theory provides a comprehensive framework for the evaluation of protein structure predictions.

scientific article

Investigating multiple candidate genes and nutrients in the folate metabolism pathway to detect genetic and nutritional risk factors for lung cancer

scientific article

Investigating the evolution and structure of chemokine receptors ⬇️

scientific article published on October 23, 2003

Joint Bayesian variable and graph selection for regression models with network-structured predictors

scientific article published on 29 October 2015

KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure

scientific article

Making sense of molecular signatures in the immune system

scientific article published on May 2004

Models and computational strategies linking physiological response to molecular networks from large-scale data

scientific article

Models for Probability of Under- and Overexpression: The POE Scale

Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity ⬇️

scientific article published on October 20, 2011

Non-parametric Sampling Approximation via Voronoi Tessellations

Order test for high-dimensional two-sample means

Order-preserving dimension reduction procedure for the dominance of two mean curves with application to tidal volume curves

scientific article

Prospective validation study of an epilepsy seizure risk system for outpatient evaluation

scientific article published on 02 December 2019

Regularized Partial Least Squares with an Application to NMR Spectroscopy

scientific article published on August 2013

Salient body image concerns of patients with cancer undergoing head and neck reconstruction

scientific article published on 11 March 2016

Spatial Mapping of Translational Diffusion Coefficients Using Diffusion Tensor Imaging: A Mathematical Description

scientific article published on January 2014

Spiked Dirichlet Process Priors for Gaussian Process Models ⬇️

scientific article published on January 1, 2010

Spiked Dirichlet process prior for Bayesian multiple hypothesis testing in random effects models ⬇️

scientific article published on January 1, 2009

Stochastic clustering and pattern matching for real-time geosteering

scientific article published on 24 August 2019

Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity

scientific article published on 10 January 2018

Transcriptomic analysis reveals inflammatory and metabolic pathways which are regulated by renal perfusion pressure in the outer medulla of Dahl-S rats

scientific article published on 30 March 2018

Transforming growth factor-beta signaling in hypertensive remodeling of porcine aorta

scientific article published on 28 August 2009

Two-group Poisson-Dirichlet mixtures for multiple testing

scientific article published on 14 June 2020

Understanding the general packing rearrangements required for successful template based modeling of protein structure from a CASP experiment ⬇️

scientific article published on November 23, 2012

Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies

scientific article published on February 2011

Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data

scientific article

WAVELET-BASED BAYESIAN ESTIMATION OF PARTIALLY LINEAR REGRESSION MODELSWITH LONG MEMORY ERRORS ⬇️

scientific article published on January 1, 2009

Wavelet thresholding with bayesian false discovery rate control

scientific article published in March 2005

List of works by Marina Vannucci

A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE.

A Bayesian Approach for Learning Gene Networks Underlying Disease Severity in COPD

A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization

A Bayesian Nonparametric Approach for the Analysis of Multiple Categorical Item Responses

A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints

A DIRICHLET PROCESS MIXTURE OF HIDDEN MARKOV MODELS FOR PROTEIN STRUCTURE PREDICTION

A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells

A bayesian hierarchical model for classification with selection of functional predictors

A bayesian integrative model for genetical genomics with spatially informed variable selection.

A chemoprotective fish oil- and pectin-containing diet temporally alters gene expression profiles in exfoliated rat colonocytes throughout oncogenesis.

A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data

A microarray analysis of sex- and gonad-biased gene expression in the zebrafish: evidence for masculinization of the transcriptome

A novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise

A predictor-informed multi-subject bayesian approach for dynamic functional connectivity

A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses

A systems biology approach reveals common metastatic pathways in osteosarcoma ⬇️

A wavelet-based Bayesian approach to regression models with long memory errors and its application to FMRI data

An Integrative Bayesian Modeling Approach to Imaging Genetics

An Introduction to High-Throughput Bioinformatics Data

An efficient stochastic search for Bayesian variable selection with high-dimensional correlated predictors ⬇️

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.

Analysis of normal-tumour tissue interaction in tumours: prediction of prostate cancer features from the molecular profile of adjacent normal cells

Assessing side-chain perturbations of the protein backbone: a knowledge-based classification of residue Ramachandran space.

BAYESIAN WAVELET-BASED CURVE CLASSIFICATION VIA DISCRIMINANT ANALYSIS WITH MARKOV RANDOM TREE PRIORS.

BVAR-Connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks

Bayesian Analysis of Cell Cycle Gene Expression Data

Bayesian Models for fMRI Data Analysis

Bayesian estimation of genomic copy number with single nucleotide polymorphism genotyping arrays ⬇️

Bayesian model of protein primary sequence for secondary structure prediction.

Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data

Bayesian variable selection for a semi-competing risks model with three hazard functions

Bayesian variable selection for the analysis of microarray data with censored outcomes

Bayesian variable selection in multinomial probit models to identify molecular signatures of disease stage

Biosensor Approach to Psychopathology Classification ⬇️

Characterizing the regularity of tetrahedral packing motifs in protein tertiary structure ⬇️

Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data

Conservation of unfavorable sequence motifs that contribute to the chemokine quaternary state

Decomposing intra-subject variability in children with attention-deficit/hyperactivity disorder

Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics.

Detecting protein dissimilarities in multiple alignments using Bayesian variable selection.

Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability.

Erratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data

Gene expression profiling of long-term changes in rat liver following burn injury

Gene selection in arthritis classification with large-scale microarray expression profiles

Gene selection: a Bayesian variable selection approach

INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES.

Identification of DNA regulatory motifs using Bayesian variable selection

Identifying biomarkers from mass spectrometry data with ordinal outcome

Increased proliferative cells in the medullary thick ascending limb of the loop of Henle in the Dahl salt-sensitive rat

Individual Differences in the Neural and Cognitive Mechanisms of Single Word Reading.

Inferring metabolic networks using the Bayesian adaptive graphical lasso with informative priors

Information theory provides a comprehensive framework for the evaluation of protein structure predictions.

Investigating multiple candidate genes and nutrients in the folate metabolism pathway to detect genetic and nutritional risk factors for lung cancer

Investigating the evolution and structure of chemokine receptors ⬇️

Joint Bayesian variable and graph selection for regression models with network-structured predictors

KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure

Making sense of molecular signatures in the immune system

Models and computational strategies linking physiological response to molecular networks from large-scale data

Models for Probability of Under- and Overexpression: The POE Scale

Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity ⬇️

Non-parametric Sampling Approximation via Voronoi Tessellations

Order test for high-dimensional two-sample means

Order-preserving dimension reduction procedure for the dominance of two mean curves with application to tidal volume curves

Prospective validation study of an epilepsy seizure risk system for outpatient evaluation

Regularized Partial Least Squares with an Application to NMR Spectroscopy

Salient body image concerns of patients with cancer undergoing head and neck reconstruction

Spatial Mapping of Translational Diffusion Coefficients Using Diffusion Tensor Imaging: A Mathematical Description

Spiked Dirichlet Process Priors for Gaussian Process Models ⬇️

Spiked Dirichlet process prior for Bayesian multiple hypothesis testing in random effects models ⬇️

Stochastic clustering and pattern matching for real-time geosteering

Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity

Transcriptomic analysis reveals inflammatory and metabolic pathways which are regulated by renal perfusion pressure in the outer medulla of Dahl-S rats

Transforming growth factor-beta signaling in hypertensive remodeling of porcine aorta

Two-group Poisson-Dirichlet mixtures for multiple testing

Understanding the general packing rearrangements required for successful template based modeling of protein structure from a CASP experiment ⬇️

Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies

Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data