List of works - Neil D. Lawrence

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

scientific article

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

scientific article

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

scientific article

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

scientific article published on 4 July 2006

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

scientific article

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

scientific article published on 11 September 2006

puma: a Bioconductor package for propagating uncertainty in microarray analysis

scientific article

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

scientific article

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

scientific article

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

scientific article

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

scientific article

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

scientific article

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

scientific article

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

scientific article published in August 2008

Warped linear mixed models for the genetic analysis of transformed phenotypes

scientific article

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

scientific article

TFInfer: a tool for probabilistic inference of transcription factor activities

scientific article

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

scientific article published on 21 April 2006

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

scientific article published in December 2003

Propagating uncertainty in microarray data analysis

scientific article published in March 2006

Fast Nonparametric Clustering of Structured Time-Series

scientific article published on February 1, 2015

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

scientific article

Kernels for Vector-Valued Functions: A Review

article

Detecting regulatory gene-environment interactions with unmeasured environmental factors

scientific article published on 4 April 2013

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

scientific article published on 30 May 2012

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

scientific article

Reducing the variability in cDNA microarray image processing by Bayesian inference

scientific article published on 22 January 2004

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

scientific article published on 7 February 2011

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

scientific article

Extensions of the Informative Vector Machine

article published in 2005

Gaussian Processes for Natural Language Processing

article

Gaussian Process Latent Variable Models for Human Pose Estimation

Local distance preservation in the GP-LVM through back constraints

scientific article (publication date: 2006)

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

Detecting periodicities with Gaussian processes

Ambiguity Modeling in Latent Spaces

Metrics for Probabilistic Geometries

scientific article published on 27 November 2014

Overlapping Mixtures of Gaussian Processes for the data association problem

Linear latent force models using Gaussian processes

scientific article published in November 2013

Missing Data in Kernel PCA

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

article published in 2009

Hierarchical Gaussian process latent variable models

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

The Emergence of Organizing Structure in Conceptual Representation

scientific article published on 9 January 2018

Topologically-constrained latent variable models

scholarly article published 2008

Editor's Note

Learning to learn with the informative vector machine

Fast Sparse Gaussian Process Methods: The Informative Vector Machine

scientific article published in January 2003

Ranking of gene regulators through differential equations and Gaussian processes

article

Optimising Synchronisation Times for Mobile Devices

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

List of works by Neil D. Lawrence

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

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

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

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

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

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

puma: a Bioconductor package for propagating uncertainty in microarray analysis

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

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

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

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

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

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

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

Warped linear mixed models for the genetic analysis of transformed phenotypes

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

TFInfer: a tool for probabilistic inference of transcription factor activities

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

Propagating uncertainty in microarray data analysis

Fast Nonparametric Clustering of Structured Time-Series

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

Kernels for Vector-Valued Functions: A Review

Detecting regulatory gene-environment interactions with unmeasured environmental factors

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

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

Reducing the variability in cDNA microarray image processing by Bayesian inference

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

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

Extensions of the Informative Vector Machine

Gaussian Processes for Natural Language Processing

Gaussian Process Latent Variable Models for Human Pose Estimation

Local distance preservation in the GP-LVM through back constraints

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

Detecting periodicities with Gaussian processes

Ambiguity Modeling in Latent Spaces

Metrics for Probabilistic Geometries

Overlapping Mixtures of Gaussian Processes for the data association problem

Linear latent force models using Gaussian processes

Missing Data in Kernel PCA

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

Hierarchical Gaussian process latent variable models

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

The Emergence of Organizing Structure in Conceptual Representation

Topologically-constrained latent variable models

Editor's Note

Learning to learn with the informative vector machine

Fast Sparse Gaussian Process Methods: The Informative Vector Machine

Ranking of gene regulators through differential equations and Gaussian processes

Optimising Synchronisation Times for Mobile Devices