Bayesian correlated clustering to integrate multiple datasets von KIRK, Paul, GRIFIFIN, Jim E, SAVAGE, Richard S, GHAHRAMANI, Zoubin, WILD, David L

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High-Resolution Temporal Profiling of Transcripts during Arabidopsis Leaf Senescence Reveals a Distinct Chronology of Processes and Regulation von Breeze, Emily, Harrison, Elizabeth, McHattie, Stuart, Hughes, Linda, Hickman, Richard, Hill, Claire, Kiddle, Steven, Kim, Youn-sung, Penfold, Christopher A., Jenkins, Dafyd, Zhang, Cunjin, Morris, Karl, Jenner, Carol, Jackson, Stephen, Thomas, Brian, Tabrett, Alexandra, Legaie, Roxane, Moore, Jonathan D., Wild, David L., Ott, Sascha, Rand, David, Beynon, Jim, Denby, Katherine, Mead, Andrew, Buchanan-Wollaston, Vicky

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Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis von Windram, Oliver, Madhou, Priyadharshini, McHattie, Stuart, Hill, Claire, Hickman, Richard, Cooke, Emma, Jenkins, Dafyd J., Penfold, Christopher A., Baxter, Laura, Breeze, Emily, Kiddle, Steven J., Rhodes, Johanna, Atwell, Susanna, Kliebenstein, Daniel J., Kim, Youn-sung, Stegle, Oliver, Borgwardt, Karsten, Zhang, Cunjin, Tabrett, Alex, Legaie, Roxane, Moore, Jonathan, Finkenstadt, Bärbel, Wild, David L., Mead, Andrew, Rand, David, Beynon, Jim, Ott, Sascha, Buchanan-Wollaston, Vicky, Denby, Katherine J.

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How to infer gene networks from expression profiles, revisited von Penfold, Christopher A., Wild, David L.

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Exploring the Energy Landscapes of Protein Folding Simulations with Bayesian Computation von Burkoff, Nikolas S., Várnai, Csilla, Wells, Stephen A., Wild, David L.

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Improving protein-protein interaction prediction using evolutionary information from low-quality MSAs von Várnai, Csilla, Burkoff, Nikolas S, Wild, David L

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Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements von Cooke, Emma J, Savage, Richard S, Kirk, Paul D W, Darkins, Robert, Wild, David L

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Nonparametric Bayesian inference for perturbed and orthologous gene regulatory networks von Penfold, Christopher A, Buchanan-Wollaston, Vicky, Denby, Katherine J, Wild, David L

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A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series von Stegle, Oliver, Denby, Katherine J, Cooke, Emma J, Wild, David L, Ghahramani, Zoubin, Borgwardt, Karsten M

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Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm von Darkins, Robert, Cooke, Emma J, Ghahramani, Zoubin, Kirk, Paul D W, Wild, David L, Savage, Richard S

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R/BHC: fast Bayesian hierarchical clustering for microarray data von Savage, Richard S, Heller, Katherine, Xu, Yang, Ghahramani, Zoubin, Truman, William M, Grant, Murray, Denby, Katherine J, Wild, David L

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CSI: a nonparametric Bayesian approach to network inference from multiple perturbed time series gene expression data von Penfold, Christopher A., Shifaz, Ahmed, Brown, Paul E., Nicholson, Ann, Wild, David L.

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A local regulatory network around three NAC transcription factors in stress responses and senescence in Arabidopsis leaves von Hickman, Richard, Hill, Claire, Penfold, Christopher A., Breeze, Emily, Bowden, Laura, Moore, Jonathan D., Zhang, Peijun, Jackson, Alison, Cooke, Emma, Bewicke‐Copley, Findlay, Mead, Andrew, Beynon, Jim, Wild, David L., Denby, Katherine J., Ott, Sascha, Buchanan‐Wollaston, Vicky

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Transcriptional Dynamics Driving MAMP-Triggered Immunity and Pathogen Effector-Mediated Immunosuppression in Arabidopsis Leaves Following Infection with Pseudomonas syringae pv tom... von Lewis, Laura A., Polanski, Krzysztof, de Torres-Zabala, Marta, Jayaraman, Siddharth, Bowden, Laura, Moore, Jonathan, Penfold, Christopher A., Jenkins, Dafyd J., Hill, Claire, Baxter, Laura, Kulasekaran, Satish, Truman, William, Littlejohn, George, Prusinska, Justyna, Mead, Andrew, Steinbrenner, Jens, Hickman, Richard, Rand, David, Wild, David L., Ott, Sascha, Buchanan-Wollaston, Vicky, Smirnoff, Nick, Beynon, Jim, Denby, Katherine, Grant, Murray

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Time-Series Transcriptomics Reveals That AGAMOUS-LIKE22 Affects Primary Metabolism and Developmental Processes in Drought-Stressed Arabidopsis von Bechtold, Ulrike, Penfold, Christopher A., Jenkins, Dafyd J., Legaie, Roxane, Moore, Jonathan D., Lawson, Tracy, Matthews, Jack S.A., Vialet-Chabrand, Silvere R.M., Baxter, Laura, Subramaniam, Sunitha, Hickman, Richard, Florance, Hannah, Sambles, Christine, Salmon, Deborah L., Feil, Regina, Bowden, Laura, Hill, Claire, Baker, Neil R., Lunn, John E., Finkenstädt, Bärbel, Mead, Andrew, Buchanan-Wollaston, Vicky, Beynon, Jim, Rand, David A., Wild, David L., Denby, Katherine J., Ott, Sascha, Smirnoff, Nicholas, Mullineaux, Philip M.

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Inferring Gene Regulatory Networks from Multiple Datasets von Penfold, Christopher A., Gherman, Iulia, Sybirna, Anastasiya, Wild, David L.

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Time‐series transcriptomics reveals a BBX32‐directed control of acclimation to high light in mature Arabidopsis leaves von Alvarez‐Fernandez, Ruben, Penfold, Christopher A., Galvez‐Valdivieso, Gregorio, Exposito‐Rodriguez, Marino, Stallard, Ellie J., Bowden, Laura, Moore, Jonathan D., Mead, Andrew, Davey, Phillip A., Matthews, Jack S. A., Beynon, Jim, Buchanan‐Wollaston, Vicky, Wild, David L., Lawson, Tracy, Bechtold, Ulrike, Denby, Katherine J., Mullineaux, Philip M.

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ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification von Cunningham, Nathan, Griffin, Jim E., Wild, David L.

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A Bayesian approach to reconstructing genetic regulatory networks with hidden factors von Beal, Matthew J., Falciani, Francesco, Ghahramani, Zoubin, Rangel, Claudia, Wild, David L.

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Inferring orthologous gene regulatory networks using interspecies data fusion von Penfold, Christopher A, Millar, Jonathan B A, Wild, David L

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