Supervisor:      Professor Neil D. Lawrence        http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/

    Software

GPREGE: R package for Gaussian process ranking and estimation of gene expression time-series (Bioconductor 2.10 release). The puma-processed full DellaGatta dataset can be manually downloaded [here].
Download the MATLAB version [here].

GPTK: R package for Gaussian process regression (CRAN).

    Publications and papers in preparation

    A. A. Kalaitzis, N. D. Lawrence. (2012) "Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models" to appear in ICML 2012. [PDF] [Supplementary]

    A. A. Kalaitzis, N. D. Lawrence. (2011) "Residual Component Analysis" in arXiv:1106.4333v1. [arXiv manuscript and source code]

    A. A. Kalaitzis, N. D. Lawrence. (2011) "A simple approach to ranking differentially expressed gene expression time-courses through Gaussian process regression" in BMC Bioinformatics 2011, 12:180. [BMC open access article]

    Master thesis

    A. A. Kalaitzis. (2009) "Image inpainting with Gaussian processes." M.Sc. Thesis, School of Informatics, The University of Edinburgh. Supervised by Christopher K.I. Williams. [PDF]

    Talks & Posters

A. A. Kalaitzis. (2012) Poster: "Residual Component Analysis for Estimating Sparse Inverse plus Low Rank Structures". Poster presented at MASAMB12, Berlin, Germany on 10/04/12.

A. A. Kalaitzis. (2012) "Generalising PCA for the analysis of heterogenous experimental data". Presented at Sheffield Institute for Translational Neuroscience, Department of Neuroscience, University of Sheffield, U.K. on 26/03/12.

A. A. Kalaitzis. (2012) "Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models". Presented at Modelling Away Day, Peak District, U.K. on 23/03/12.

A. A. Kalaitzis. (2011) Poster: "Residual Component Analysis". Poster Presented at DCS Research Retreat, University of Sheffield, Sheffield, U.K. on May 2011.

A. A. Kalaitzis. (2011) "A simple approach to ranking differentially expressed gene expression time-courses through Gaussian process regression". Presented at MLSB2011, Vienna, Austria on 21/07/11. [Extended abstract]

A. A. Kalaitzis. (2011) "Gaussian process regression for ranking differentially expressed gene expression time-courses". Presented at Sheffield Institute for Translational Neuroscience, Department of Neuroscience, University of Sheffield, U.K. on 11/04/11.