| Scalable inference of transcriptional kinetic parameters from MS2 time series data | 0 | 0.34 | 2022 |
| OscoNet: inferring oscillatory gene networks. | 0 | 0.34 | 2020 |
| Trajectory inference and parameter estimation in stochastic models with temporally aggregated data | 0 | 0.34 | 2018 |
| Efficient Inference for Sparse Latent Variable Models of Transcriptional Regulation. | 0 | 0.34 | 2017 |
| Detecting periodicities with Gaussian processes. | 1 | 0.35 | 2016 |
| Inferring the perturbation time from biological time course data. | 2 | 0.39 | 2016 |
| Fast and accurate approximate inference of transcript expression from RNA-seq data | 4 | 0.46 | 2015 |
| Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data. | 1 | 0.37 | 2014 |
| Fast variational inference for nonparametric clustering of structured time-series. | 0 | 0.34 | 2014 |
| puma 3.0: improved uncertainty propagation methods for gene and transcript expression analysis. | 7 | 0.39 | 2013 |
| Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters. | 17 | 0.73 | 2013 |
| Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison. | 7 | 0.55 | 2012 |
| Identifying differentially expressed transcripts from RNA-seq data with biological variation. | 39 | 2.23 | 2012 |
| Fast Variational Inference in the Conjugate Exponential Family | 7 | 0.74 | 2012 |
| tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor. | 2 | 0.40 | 2011 |
| TFInfer: a tool for probabilistic inference of transcription factor activities. | 2 | 0.53 | 2010 |
| Dense Message Passing for Sparse Principal Component Analysis | 8 | 0.65 | 2010 |
| Dense Message Passing for Sparse Principal Component Analysis | 0 | 0.34 | 2010 |
| Model-Based Method For Transcription Factor Target Identification With Limited Data | 30 | 1.54 | 2010 |
| puma: a Bioconductor package for propagating uncertainty in microarray analysis | 29 | 1.01 | 2009 |
| Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities. | 25 | 2.16 | 2008 |
| Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo. | 6 | 0.65 | 2008 |
| Efficient Sampling for Gaussian Process Inference using Control Variables | 16 | 2.78 | 2008 |
| A probabilistic model for generating realistic lip movements from speech | 13 | 0.70 | 2007 |
| Including probe-level uncertainty in model-based gene expression clustering. | 6 | 0.58 | 2007 |
| A Methodology For Comparative Functional Genomics | 0 | 0.34 | 2007 |
| Propagating uncertainty in microarray data analysis. | 8 | 1.26 | 2006 |
| A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription. | 14 | 2.23 | 2006 |
| Modelling transcriptional regulation using Gaussian Processes | 40 | 3.58 | 2006 |
| Probe-level measurement error improves accuracy in detecting differential gene expression. | 23 | 1.53 | 2006 |
| Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities. | 22 | 1.82 | 2006 |
| Identifying submodules of cellular regulatory networks | 1 | 0.47 | 2006 |
| Accounting for probe-level noise in principal component analysis of microarray data. | 22 | 2.10 | 2005 |
| A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips. | 31 | 4.21 | 2005 |
| A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra | 2 | 0.48 | 2004 |
| Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA | 2 | 0.39 | 2003 |
| Statistical dynamics of on-line independent component analysis | 3 | 0.53 | 2003 |
| Dynamics of ICA for High-Dimensional Data | 0 | 0.34 | 2002 |
| Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis | 6 | 0.87 | 2002 |
| Making sense of microarray data distributions. | 36 | 3.53 | 2002 |
| Scaling Laws and Local Minima in Hebbian ICA | 4 | 0.70 | 2001 |
| A model-based distance for clustering | 8 | 1.48 | 2000 |
| Globally optimal on-line learning rules | 0 | 0.34 | 1997 |
| Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning | 22 | 2.19 | 1996 |
| The Dynamics of a Genetic Algorithm under Stabilizing Selection | 10 | 1.69 | 1995 |
| A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms | 25 | 2.44 | 1994 |
