Publications by Computational Biology and Bioinformatics

Sanchez-Garcia, R. et al. (2019) “BIPSPI: a method for the prediction of partner-specific protein–protein interfaces”, Bioinformatics, 35(3), pp. 470–477.

Geladaki, A. et al. (2019) “Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics”, Nature Communications, 10(1), p. 331.

Elliott, A. et al. (2019) “Anomaly detection in networks with application to financial transaction networks”, JournalName [Preprint].

Sanchez-Garcia, R. et al. (2019) “MicrographCleaner: a python package for cryo-EM micrograph cleaning using deep learning”, bioRxiv.

Li, R. et al. (2019) “Genetic diversity and its unexpected impacts on recombination, genome evolution, speciation and sterility in mammals”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 1073–1073.

Ernst, M., Reinert, G. and Swan, Y. (2018) “Stein-type covariance identities: Klaassen, Papathanasiou and Olkin-Shepp type bounds for arbitrary target distributions”, JournalName [Preprint].

Xu, X. and Reinert, G. (2018) “Triad-based comparison and signatures of directed networks”, in Studies in Computational Intelligence. Springer, pp. 590–602.

Crook, O. et al. (2018) “A Bayesian mixture modelling approach for spatial proteomics”, PLOS Computational Biology, 14(11), p. e1006516.

Sanchez-Garcia, R. et al. (2018) “Deep Consensus, a deep learning-based approach for particle pruning in cryo-electron microscopy”, IUCrJ, 5(6), pp. 854–865.

Crook, O., Gatto, L. and Kirk, P. (2018) “Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics”, arXiv.