Lista de obras - Neil D. Lawrence - Dominio Público Uruguay

A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics

A Top-Down Approach for a Synthetic Autobiographical Memory System

A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription

artículo científico publicado en 2006

A probabilistic model for the extraction of expression levels from oligonucleotide arrays

artículo científico publicado en 2003

A reverse-engineering approach to dissect post-translational modulators of transcription factor's activity from transcriptional data

artículo científico publicado en 2015

A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regression

artículo científico publicado en 2011

A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips

artículo científico publicado en 2005

Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes ⬇️

Accounting for probe-level noise in principal component analysis of microarray data

artículo científico publicado en 2005

Ambiguity Modeling in Latent Spaces

Approximating Posterior Distributions in Belief Networks Using Mixtures ⬇️

Backing Off: Hierarchical Decomposition of Activity for 3D Novel Pose Recovery

article published in 2009

Challenges in Deploying Machine Learning: A Survey of Case Studies

artículo científico publicado en 2022

Consistent mapping of government malaria records across a changing territory delimitation.

artículo científico publicado en 2014

Detecting periodicities with Gaussian processes

Detecting regulatory gene-environment interactions with unmeasured environmental factors

artículo científico publicado en 2013

Editor's Note

Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes ⬇️

artículo científico publicado en 2017

Efficient Sampling for Gaussian Process Inference using Control Variables ⬇️

Efficient inference in matrix-variate Gaussian models with \\iid observation noise ⬇️

artículo científico publicado en 2011

Elementary properties of CaV1.3 Ca(2+) channels expressed in mouse cochlear inner hair cells

artículo científico publicado en 2009

Extensions of the Informative Vector Machine

article published in 2005

Fast Nonparametric Clustering of Structured Time-Series

artículo científico publicado en 2015

Fast Sparse Gaussian Process Methods: The Informative Vector Machine ⬇️

artículo científico publicado en 2003

Fast Variational Inference for Gaussian Process Models Through KL-Correction

Fast Variational Inference in the Conjugate Exponential Family ⬇️

artículo científico publicado en 2012

Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation

Gaussian Process Latent Variable Models for Human Pose Estimation

Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data ⬇️

artículo científico publicado en 2004

Gaussian Processes for Natural Language Processing

article

Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities

artículo científico publicado en 2008

Genome-wide modeling of transcription kinetics reveals patterns of RNA production delays ⬇️

artículo científico publicado en 2015

Genome-wide occupancy links Hoxa2 to Wnt-β-catenin signaling in mouse embryonic development

artículo científico publicado en 2012

Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters

artículo científico publicado en 2013

Hierarchical Gaussian process latent variable models

How do paediatricians use and monitor antithyroid drugs in the UK? A clinician survey

artículo científico publicado en 2019

Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison

artículo científico publicado en 2012

Inference of RNA polymerase II transcription dynamics from chromatin immunoprecipitation time course data

artículo científico publicado en 2014

Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in genetical genomics studies

artículo científico publicado en 2012

Kernels for Vector-Valued Functions: A Review

article

Learning to learn with the informative vector machine

Linear latent force models using Gaussian processes.

artículo científico publicado en 2013

Local distance preservation in the GP-LVM through back constraints

artículo científico publicado en 2006

Markov chain Monte Carlo algorithms for Gaussian processes

scholarly article

Meta-Surrogate Benchmarking for Hyperparameter Optimization ⬇️

Metrics for Probabilistic Geometries ⬇️

artículo científico publicado en 2014

Mining regulatory network connections by ranking transcription factor target genes using time series expression data

artículo científico publicado en 2013

Missing Data in Kernel PCA

Model-based method for transcription factor target identification with limited data.

artículo científico publicado en 2010

Modeling meiotic chromosomes indicates a size dependent contribution of telomere clustering and chromosome rigidity to homologue juxtaposition.

artículo científico publicado en 2012

Modelling transcriptional regulation using Gaussian Processes ⬇️

artículo científico publicado en 2007

Non-linear matrix factorization with Gaussian processes

Note Relevance Determination

Optimising Synchronisation Times for Mobile Devices ⬇️

article by Neil D. Lawrence et al published 2002 in Advances in Neural Information Processing Systems 14

Overlapping Mixtures of Gaussian Processes for the data association problem

Preface: Intelligent interactive data visualization

scholarly article by Barbara Hammer et al published 13 April 2013 in Data Mining and Knowledge Discovery

Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities

artículo científico

Probe-level measurement error improves accuracy in detecting differential gene expression

artículo científico publicado en 2006

Propagating uncertainty in microarray data analysis

artículo científico publicado en 2006

Ranking of gene regulators through differential equations and Gaussian processes

article

Reducing the variability in cDNA microarray image processing by Bayesian inference

artículo científico publicado en 2004

Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation

artículo científico publicado en 2024

Semi-supervised Learning via Gaussian Processes ⬇️

artículo científico publicado en 2005

Shared Gaussian Process Latent Variable Models for Handling Ambiguous Facial Expressions

scholarly article published 2009

Solving Schrödinger Bridges via Maximum Likelihood

scientific article published on 31 August 2021

Sparse Convolved Gaussian Processes for Multi-output Regression ⬇️

Switched Latent Force Models for Movement Segmentation ⬇️

TFInfer: a tool for probabilistic inference of transcription factor activities

artículo científico publicado en 2010

The Emergence of Organizing Structure in Conceptual Representation

artículo científico publicado en 2018

Topologically-constrained latent variable models

scholarly article published 2008

Topslam: Waddington Landscape Recovery for Single Cell Experiments

Transcriptomic indices of fast and slow disease progression in two mouse models of amyotrophic lateral sclerosis.

artículo científico publicado en 2013

Unravelling the enigma of selective vulnerability in neurodegeneration: motor neurons resistant to degeneration in ALS show distinct gene expression characteristics and decreased susceptibility to excitotoxicity

artículo científico publicado en 2012

Variational Gaussian Process Dynamical Systems ⬇️

artículo científico publicado en 2011

Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis

Warped linear mixed models for the genetic analysis of transformed phenotypes

artículo científico publicado en 2014

puma: a Bioconductor package for propagating uncertainty in microarray analysis

artículo científico publicado en 2009

tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor.

artículo científico publicado en 2011

Lista de obras de Neil D. Lawrence

A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics

A Top-Down Approach for a Synthetic Autobiographical Memory System

A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription

A probabilistic model for the extraction of expression levels from oligonucleotide arrays

A reverse-engineering approach to dissect post-translational modulators of transcription factor's activity from transcriptional data

A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regression

A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips

Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes ⬇️

Accounting for probe-level noise in principal component analysis of microarray data

Ambiguity Modeling in Latent Spaces

Approximating Posterior Distributions in Belief Networks Using Mixtures ⬇️

Backing Off: Hierarchical Decomposition of Activity for 3D Novel Pose Recovery

Challenges in Deploying Machine Learning: A Survey of Case Studies

Consistent mapping of government malaria records across a changing territory delimitation.

Detecting periodicities with Gaussian processes

Detecting regulatory gene-environment interactions with unmeasured environmental factors

Editor's Note

Editor's Note

Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes ⬇️

Efficient Sampling for Gaussian Process Inference using Control Variables ⬇️

Efficient inference in matrix-variate Gaussian models with \\iid observation noise ⬇️

Elementary properties of CaV1.3 Ca(2+) channels expressed in mouse cochlear inner hair cells

Extensions of the Informative Vector Machine

Fast Nonparametric Clustering of Structured Time-Series

Fast Sparse Gaussian Process Methods: The Informative Vector Machine ⬇️

Fast Variational Inference for Gaussian Process Models Through KL-Correction

Fast Variational Inference in the Conjugate Exponential Family ⬇️

Gaussian Process Inference for Differential Equation Models of Transcriptional Regulation

Gaussian Process Latent Variable Models for Human Pose Estimation

Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data ⬇️

Gaussian Processes for Natural Language Processing

Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities

Genome-wide modeling of transcription kinetics reveals patterns of RNA production delays ⬇️

Genome-wide occupancy links Hoxa2 to Wnt-β-catenin signaling in mouse embryonic development

Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters

Hierarchical Gaussian process latent variable models

How do paediatricians use and monitor antithyroid drugs in the UK? A clinician survey

Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison

Inference of RNA polymerase II transcription dynamics from chromatin immunoprecipitation time course data

Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in genetical genomics studies

Kernels for Vector-Valued Functions: A Review

Learning to learn with the informative vector machine

Linear latent force models using Gaussian processes.

Local distance preservation in the GP-LVM through back constraints

Markov chain Monte Carlo algorithms for Gaussian processes

Meta-Surrogate Benchmarking for Hyperparameter Optimization ⬇️

Metrics for Probabilistic Geometries ⬇️

Mining regulatory network connections by ranking transcription factor target genes using time series expression data

Missing Data in Kernel PCA

Model-based method for transcription factor target identification with limited data.

Modeling meiotic chromosomes indicates a size dependent contribution of telomere clustering and chromosome rigidity to homologue juxtaposition.

Modelling transcriptional regulation using Gaussian Processes ⬇️

Non-linear matrix factorization with Gaussian processes

Note Relevance Determination

Optimising Synchronisation Times for Mobile Devices ⬇️

Overlapping Mixtures of Gaussian Processes for the data association problem

Preface: Intelligent interactive data visualization

Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities

Probe-level measurement error improves accuracy in detecting differential gene expression

Propagating uncertainty in microarray data analysis

Ranking of gene regulators through differential equations and Gaussian processes

Reducing the variability in cDNA microarray image processing by Bayesian inference

Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation

Semi-supervised Learning via Gaussian Processes ⬇️

Shared Gaussian Process Latent Variable Models for Handling Ambiguous Facial Expressions

Solving Schrödinger Bridges via Maximum Likelihood

Sparse Convolved Gaussian Processes for Multi-output Regression ⬇️

Switched Latent Force Models for Movement Segmentation ⬇️

TFInfer: a tool for probabilistic inference of transcription factor activities

The Emergence of Organizing Structure in Conceptual Representation

Topologically-constrained latent variable models

Topslam: Waddington Landscape Recovery for Single Cell Experiments

Transcriptomic indices of fast and slow disease progression in two mouse models of amyotrophic lateral sclerosis.

Unravelling the enigma of selective vulnerability in neurodegeneration: motor neurons resistant to degeneration in ALS show distinct gene expression characteristics and decreased susceptibility to excitotoxicity

Variational Gaussian Process Dynamical Systems ⬇️

Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis

Warped linear mixed models for the genetic analysis of transformed phenotypes

puma: a Bioconductor package for propagating uncertainty in microarray analysis

tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor.