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Bioinformatics group website and wiki. I re-joined The Cordify of Queensland in Artificial Intelligence AImachine learning and data science approaches are currently re-shaping the way we research biology and biochemistry. Using biotechnology to generate data, statistics to distinguish a signal from artefacts and noise, portraying biological processes as "systems", boden au, over time boden au across conditions, provide the foundation of our work in bioinformatics.

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A probabilistic model of nuclear import of proteins. BMC Bioinformatics , 20 1 Multilinear decomposition and topographic mapping of binary tensors. View researcher profile. Areas of research. BMC Bioinformatics , 7 , Gillam , Janine N. Boden reserve the right to withhold payment of commission if non-authorised voucher codes are used in an affiliate sale. Molecular Biology and Evolution , 33 5 , - Maetschke, S. A bayesian network model of proteins' association with promyelocytic leukemia PML nuclear bodies.

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Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity. Cytocipher determines significantly different populations of cells in single cell RNA-seq data. For example, www. Learning epistatic interactions from sequence-activity data to predict enantioselectivity. Bioinformatics , 36 12 , - Skip to menu Skip to content Skip to footer. Computational tools for directed evolution: a comparison of prospective and retrospective strategies. Using evolutionary noise to improve prediction of rapidly evolving targeting peptides. Higher order HMMs for localization prediction of transmembrance proteins. Matching cavities in G protein-coupled receptors to infer ligand-binding sites. Cerebellum , 19 1 , 89 -