Lista de obras - Mark Girolami - Dominio Público Uruguay

A Bayesian regression approach to the inference of regulatory networks from gene expression data

artículo científico publicado en 2005

A Variational Method for Learning Sparse and Overcomplete Representations ⬇️

artículo científico publicado el 1 de noviembre de 2001

Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes ⬇️

Accurate prediction of BRCA1 and BRCA2 heterozygous genotype using expression profiling after induced DNA damage

artículo científico publicado en 2006

Addressing the challenge of defining valid proteomic biomarkers and classifiers

artículo científico publicado en 2010

An Alternative Perspective on Adaptive Independent Component Analysis Algorithms ⬇️

artículo científico publicado el 15 de noviembre de 1998

Analysis of SVM with Indefinite Kernels ⬇️

Analysis of complex, multidimensional datasets

artículo científico publicado en 2006

Analysis of free text in electronic health records for identification of cancer patient trajectories

artículo científico publicado en 2017

Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach

artículo científico publicado en 2013

BRCA1 and BRCA2 missense variants of high and low clinical significance influence lymphoblastoid cell line post-irradiation gene expression

artículo científico publicado en 2008

Bat echolocation call identification for biodiversity monitoring: a probabilistic approach

Bayesian approaches for mechanistic ion channel modeling

artículo científico publicado en 2013

Bayesian methods to detect dye-labelled DNA oligonucleotides in multiplexed Raman spectra

Bayesian model-based inference of transcription factor activity

artículo científico publicado en 2007

Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry

artículo científico publicado en 2016

BioBayes: a software package for Bayesian inference in systems biology

artículo científico publicado en 2008

Biologically valid linear factor models of gene expression

artículo científico publicado en 2004

Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm

Clinical proteomics: A need to define the field and to begin to set adequate standards

artículo científico publicado en 2007

Data Integration for Classification Problems Employing Gaussian Process Priors ⬇️

artículo científico publicado en 2007

Decoding post-stroke motor function from structural brain imaging

artículo científico publicado en 2016

Definition of Valid Proteomic Biomarkers: A Bayesian Solution

article published in 2009

Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success

artículo científico publicado en 2019

Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees ⬇️

Geodesic Monte Carlo on Embedded Manifolds

artículo científico publicado en 2013

ITFoM – The IT Future of Medicine

Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species

artículo científico publicado en 2010

Infinite factorization of multiple non-parametric views

Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models

artículo científico publicado en 2008

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm ⬇️

artículo científico publicado en 2007

Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression

Low-rank statistical finite elements for scalable model-data synthesis

artículo científico publicado en 2022

MCMC_CLIB-an advanced MCMC sampling package for ODE models

artículo científico publicado en 2014

Markov Chain Monte Carlo from Lagrangian Dynamics

artículo científico publicado en 2015

Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation ⬇️

artículo científico publicado el 31 de diciembre de 2012

Markov chain Monte Carlo methods for state-space models with point process observations

artículo científico publicado en 2012

Minimum Stein Discrepancy Estimators ⬇️

Multi-resolution Multi-task Gaussian Processes ⬇️

artículo científico publicado en 2019

Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease

artículo científico publicado en 2010

Online learning with (multiple) kernels: a review

artículo científico publicado en 2012

Orthogonal series density estimation and the kernel eigenvalue problem

artículo científico publicado en 2002

Precision-Recall Balanced Topic Modelling ⬇️

Preferential Attachment of Specific Fluorescent Dyes and Dye Labeled DNA Sequences in a Surface Enhanced Raman Scattering Multiplex

scientific article published in 2016

Preferential Attachment of Specific Fluorescent Dyes and Dye Labeled DNA Sequences in a Surface Enhanced Raman Scattering Multiplex

article published in 2016

Probabilistic Model Checking of DTMC Models of User Activity Patterns

Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models ⬇️

artículo científico publicado en 2017

Probabilistic assignment of formulas to mass peaks in metabolomics experiments

artículo científico publicado en 2008

Probabilistic numerics and uncertainty in computations ⬇️

artículo científico publicado en 2015

Protein interaction detection in sentences via Gaussian processes: a preliminary evaluation

artículo científico publicado en 2011

Protein interaction sentence detection using multiple semantic kernels ⬇️

artículo científico publicado en 2011

Pseudo-Marginal Bayesian Inference for Gaussian Processes

artículo científico publicado en 2014

Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning

scholarly article published August 2014

Recommendations for biomarker identification and qualification in clinical proteomics

artículo científico publicado en 2010

Regulation of post-Golgi LH3 trafficking is essential for collagen homeostasis

artículo científico publicado en 2016

Riemann manifold Langevin and Hamiltonian Monte Carlo methods

article

Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles ⬇️

artículo científico publicado en 2004

Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation ⬇️

artículo científico publicado en 2007

Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods

artículo científico publicado en 2011

Statistical finite elements for misspecified models

artículo científico publicado en 2021

Statistical finite elements for misspecified models

artículo científico publicado en 2020

Statistical methods to enable practical on-site tomographic imaging of whole-core samples

artículo científico publicado en 2019

The latent process decomposition of cDNA microarray data sets

artículo científico publicado en 2005

The silicon trypanosome: a test case of iterative model extension in systems biology

artículo científico publicado en 2014

Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana

Variational Bayesian approximation of inverse problems using sparse precision matrices

artículo científico publicado en 2022

Vbmp: variational Bayesian Multinomial Probit Regression for multi-class classification in R.

artículo científico publicado en 2007

multiplex molecular imaging of vascular inflammation using surface-enhanced Raman spectroscopy

artículo científico publicado en 2018

Lista de obras de Mark Girolami

A Bayesian regression approach to the inference of regulatory networks from gene expression data

A Variational Method for Learning Sparse and Overcomplete Representations ⬇️

Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes ⬇️

Accurate prediction of BRCA1 and BRCA2 heterozygous genotype using expression profiling after induced DNA damage

Addressing the challenge of defining valid proteomic biomarkers and classifiers

An Alternative Perspective on Adaptive Independent Component Analysis Algorithms ⬇️

Analysis of SVM with Indefinite Kernels ⬇️

Analysis of complex, multidimensional datasets

Analysis of free text in electronic health records for identification of cancer patient trajectories

Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach

BRCA1 and BRCA2 missense variants of high and low clinical significance influence lymphoblastoid cell line post-irradiation gene expression

Bat echolocation call identification for biodiversity monitoring: a probabilistic approach

Bayesian approaches for mechanistic ion channel modeling

Bayesian methods to detect dye-labelled DNA oligonucleotides in multiplexed Raman spectra

Bayesian model-based inference of transcription factor activity

Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry

BioBayes: a software package for Bayesian inference in systems biology

Biologically valid linear factor models of gene expression

Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm

Clinical proteomics: A need to define the field and to begin to set adequate standards

Data Integration for Classification Problems Employing Gaussian Process Priors ⬇️

Decoding post-stroke motor function from structural brain imaging

Definition of Valid Proteomic Biomarkers: A Bayesian Solution

Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success

Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees ⬇️

Geodesic Monte Carlo on Embedded Manifolds

ITFoM – The IT Future of Medicine

Inferring signaling pathway topologies from multiple perturbation measurements of specific biochemical species

Infinite factorization of multiple non-parametric views

Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models

Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm ⬇️

Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression

Low-rank statistical finite elements for scalable model-data synthesis

MCMC_CLIB-an advanced MCMC sampling package for ODE models

Markov Chain Monte Carlo from Lagrangian Dynamics

Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation ⬇️

Markov chain Monte Carlo methods for state-space models with point process observations

Minimum Stein Discrepancy Estimators ⬇️

Multi-resolution Multi-task Gaussian Processes ⬇️

Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease

Online learning with (multiple) kernels: a review

Orthogonal series density estimation and the kernel eigenvalue problem

Precision-Recall Balanced Topic Modelling ⬇️

Preferential Attachment of Specific Fluorescent Dyes and Dye Labeled DNA Sequences in a Surface Enhanced Raman Scattering Multiplex

Preferential Attachment of Specific Fluorescent Dyes and Dye Labeled DNA Sequences in a Surface Enhanced Raman Scattering Multiplex

Probabilistic Model Checking of DTMC Models of User Activity Patterns

Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models ⬇️

Probabilistic assignment of formulas to mass peaks in metabolomics experiments

Probabilistic numerics and uncertainty in computations ⬇️

Protein interaction detection in sentences via Gaussian processes: a preliminary evaluation

Protein interaction sentence detection using multiple semantic kernels ⬇️

Pseudo-Marginal Bayesian Inference for Gaussian Processes

Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning

Recommendations for biomarker identification and qualification in clinical proteomics

Regulation of post-Golgi LH3 trafficking is essential for collagen homeostasis

Riemann manifold Langevin and Hamiltonian Monte Carlo methods

Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles ⬇️

Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation ⬇️

Statistical analysis of nonlinear dynamical systems using differential geometric sampling methods

Statistical finite elements for misspecified models

Statistical finite elements for misspecified models

Statistical methods to enable practical on-site tomographic imaging of whole-core samples

The latent process decomposition of cDNA microarray data sets

The silicon trypanosome: a test case of iterative model extension in systems biology

Using Higher-Order Dynamic Bayesian Networks to Model Periodic Data from the Circadian Clock of Arabidopsis Thaliana

Variational Bayesian approximation of inverse problems using sparse precision matrices

Vbmp: variational Bayesian Multinomial Probit Regression for multi-class classification in R.

multiplex molecular imaging of vascular inflammation using surface-enhanced Raman spectroscopy