Lista de obras - Marina Vannucci - Dominio Público Uruguay

A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE.

artículo científico publicado en 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

artículo científico publicado en 2015

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

artículo científico publicado en 2014

A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles

artículo científico publicado en 2014

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

artículo científico publicado en 2017

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

artículo científico publicado en 2010

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

artículo científico publicado en 2016

A bayesian hierarchical model for classification with selection of functional predictors

artículo científico publicado en 2009

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

artículo científico

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

artículo científico publicado en 2011

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

artículo científico publicado en 2017

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

artículo científico publicado en 2009

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

artículo científico publicado en 2008

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

artículo científico publicado en 2024

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

artículo científico publicado en 2014

A systems biology approach reveals common metastatic pathways in osteosarcoma ⬇️

artículo científico publicado el 28 de mayo de 2012

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

artículo científico publicado en 2013

An Integrative Bayesian Modeling Approach to Imaging Genetics

artículo científico publicado en 2013

An Introduction to High-Throughput Bioinformatics Data

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

artículo científico publicado el 1 de octubre de 2011

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

artículo científico publicado en 2017

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

artículo científico publicado en 2011

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

artículo científico publicado en 2008

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

artículo científico publicado en 2012

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

artículo científico publicado en 2020

Bayesian Analysis of Cell Cycle Gene Expression Data

article

Bayesian Models for fMRI Data Analysis

artículo científico publicado en 2015

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

artículo científico publicado el 30 de diciembre de 2010

Bayesian model of protein primary sequence for secondary structure prediction.

artículo científico publicado en 2014

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

artículo científico publicado en 2017

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

artículo científico publicado en 2006

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

artículo científico publicado en 2004

Biosensor Approach to Psychopathology Classification ⬇️

artículo científico publicado el 21 de octubre de 2010

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

artículo científico publicado el 2 de noviembre de 2010

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

artículo científico publicado en 2008

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

artículo científico publicado en 2008

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

artículo científico publicado en 2008

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

artículo científico publicado en 2009

Detecting protein dissimilarities in multiple alignments using Bayesian variable selection.

artículo científico publicado en 2006

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

artículo científico publicado en 2018

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

artículo científico publicado en 2017

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

artículo científico

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

artículo científico publicado en 2003

Gene selection: a Bayesian variable selection approach

artículo científico publicado en 2003

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

artículo científico publicado en 2011

Identification of DNA regulatory motifs using Bayesian variable selection

artículo científico publicado en 2004

Identifying biomarkers from mass spectrometry data with ordinal outcome

artículo científico publicado en 2007

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

artículo científico publicado en 2012

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

artículo científico publicado en 2018

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

artículo científico publicado en 2013

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

artículo científico publicado en 2009

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

artículo científico publicado en 2013

Investigating the evolution and structure of chemokine receptors ⬇️

artículo científico publicado el 23 de octubre de 2003

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

artículo científico publicado en 2015

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

artículo científico publicado en 2016

Making sense of molecular signatures in the immune system

artículo científico publicado en 2004

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

artículo científico publicado en 2008

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

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

artículo científico publicado el 20 de octubre de 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

artículo científico publicado en 2007

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

artículo científico publicado en 2019

Regularized Partial Least Squares with an Application to NMR Spectroscopy

artículo científico publicado en 2013

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

artículo científico publicado en 2016

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

artículo científico publicado en 2014

Spiked Dirichlet Process Prior for Bayesian Multiple Hypothesis Testing in Random Effects Models

artículo científico publicado en 2009

Spiked Dirichlet Process Priors for Gaussian Process Models

artículo científico publicado en 2010

Stochastic clustering and pattern matching for real-time geosteering

artículo científico publicado en 2019

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

artículo científico publicado en 2018

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

artículo científico publicado en 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

artículo científico publicado en 2020

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

artículo científico publicado en 2012

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

artículo científico publicado en 2011

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

artículo científico publicado en 2010

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

artículo científico publicado en 2009

Wavelet thresholding with bayesian false discovery rate control

artículo científico publicado en 2005

Lista de obras de 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 Prior for Bayesian Multiple Hypothesis Testing in Random Effects Models

Spiked Dirichlet Process Priors for Gaussian Process 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