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Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison.
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- BMC Systems Biology, 2012, v. 6, n. 1, p. 53, doi. 10.1186/1752-0509-6-53
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- Article
Propagating uncertainty in microarray data analysis.
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- Briefings in Bioinformatics, 2006, v. 7, n. 1, p. 37, doi. 10.1093/bib/bbk003
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- Article
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters.
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- BMC Bioinformatics, 2013, v. 14, n. 1, p. 1, doi. 10.1186/1471-2105-14-252
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- Article
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression.
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- BMC Bioinformatics, 2011, v. 12, n. 1, p. 180, doi. 10.1186/1471-2105-12-180
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- Article
Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data.
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- PLoS Computational Biology, 2014, v. 10, n. 5, p. 1, doi. 10.1371/journal.pcbi.1003598
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- Article
Modeling Meiotic Chromosomes Indicates a Size Dependent Contribution of Telomere Clustering and Chromosome Rigidity to Homologue Juxtaposition.
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- PLoS Computational Biology, 2012, v. 8, n. 5, p. 1, doi. 10.1371/journal.pcbi.1002496
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- Article
Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies.
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- PLoS Computational Biology, 2012, v. 8, n. 1, p. 1, doi. 10.1371/journal.pcbi.1002330
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- Article
Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves T<sub>H</sub>1/T<sub>FH</sub> fate bifurcation in malaria.
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- Science Immunology, 2017, v. 2, n. 9, p. 1, doi. 10.1126/sciimmunol.aal2192
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- Article
Warped linear mixed models for the genetic analysis of transformed phenotypes.
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- Nature Communications, 2014, v. 5, n. 9, p. 4890, doi. 10.1038/ncomms5890
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- Article
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities.
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- Bioinformatics, 2006, v. 22, n. 22, p. 2775, doi. 10.1093/bioinformatics/btl473
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- Article
Probe-level measurement error improves accuracy in detecting differential gene expression.
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- Bioinformatics, 2006, v. 22, n. 17, p. 2107, doi. 10.1093/bioinformatics/btl361
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- Article
Accounting for probe-level noise in principal component analysis of microarray data.
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- Bioinformatics, 2005, v. 21, n. 19, p. 3748, doi. 10.1093/bioinformatics/bti617
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- Article
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips.
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- Bioinformatics, 2005, v. 21, n. 18, p. 3637, doi. 10.1093/bioinformatics/bti583
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- Article
Reducing the variability in cDNA microarray image processing by Bayesian inference.
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- Bioinformatics, 2004, v. 20, n. 4, p. 518, doi. 10.1093/bioinformatics/btg438
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- Article
Elementary properties of Ca<sub>V</sub>1.3 Ca<sup>2+</sup> channels expressed in mouse cochlear inner hair cells.
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- Journal of Physiology, 2010, v. 588, n. 1, p. 187, doi. 10.1113/jphysiol.2009.181917
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- Article
The Emergence of Organizing Structure in Conceptual Representation.
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- Cognitive Science, 2018, v. 42, p. 809, doi. 10.1111/cogs.12580
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- Article
A Comparison of State-of-the-Art Classification Techniques with Application to Cytogenetics.
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- Neural Computing & Applications, 2001, v. 10, n. 1, doi. 10.1007/s005210170016
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Differentially Private Regression and Classification with Sparse Gaussian Processes.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models.
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- Journal of Machine Learning Research, 2012, v. 13, n. 5, p. 1609
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- Article
Computationally Efficient Convolved Multiple Output Gaussian Processes.
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- Journal of Machine Learning Research, 2011, v. 12, n. 5, p. 1459
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- Article
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis.
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- Journal of Machine Learning Research, 2006, v. 7, n. 2, p. 455
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- Article
Efficient inference for sparse latent variable models of transcriptional regulation.
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- Bioinformatics, 2017, v. 33, n. 23, p. 3776, doi. 10.1093/bioinformatics/btx508
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- Article
Detecting regulatory gene–environment interactions with unmeasured environmental factors.
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- Bioinformatics, 2013, v. 29, n. 11, p. 1382, doi. 10.1093/bioinformatics/btt148
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- Article
tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor.
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- Bioinformatics, 2011, v. 27, n. 7, p. 1026, doi. 10.1093/bioinformatics/btr057
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TFInfer: a tool for probabilistic inference of transcription factor activities.
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- Bioinformatics, 2010, v. 26, n. 20, p. 2635, doi. 10.1093/bioinformatics/btq469
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- Article
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities.
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- Bioinformatics, 2008, v. 24, n. 16, p. i70, doi. 10.1093/bioinformatics/btn278
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- Article