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Publications by Computational Biology and Bioinformatics

Lu, Y., Reinert, G. and Cucuringu, M. (2022) “Trade co-occurrence, trade flow decomposition, and conditional order imbalance in equity markets.”
Fischer, A. et al. (2022) “Normal approximation for the posterior in exponential families.”
Braccia, C. et al. (2022) “CFTR Rescue by Lumacaftor (VX-809) Induces an Extensive Reorganization of Mitochondria in the Cystic Fibrosis Bronchial Epithelium”, Cells, 11(12), p. 1938.
Pardo-Diaz, J. et al. (2022) “Generating weighted and thresholded gene coexpression networks using signed distance correlation.”, Network Science, 10(2), pp. 131–145.
Crook, O., Chung, C.-W. and Deane, C. (2022) “Empirical Bayes functional models for hydrogen deuterium exchange mass spectrometry”, Communications Biology, 5(1), p. 588.
Smith, T. et al. (2022) “Prior Signal Acquisition Software Versions for Orbitrap Underestimate Low Isobaric Mass Tag Intensities, Without Detriment to Differential Abundance Experiments”, ACS Measurement Science Au, 2(3), pp. 233–240.
Armirotti, A. et al. (2022) “WS05.02 CFTR rescue by lumacaftor (VX-809) induces an extensive reorganisation of mitochondria in the cystic fibrosis bronchial epithelium”, Journal of Cystic Fibrosis, 21, pp. s9 - s10.
Sanchez-Garcia, R. et al. (2022) “BIPSPI+: Mining Type-Specific Datasets of Protein Complexes to Improve Protein Binding Site Prediction”, Journal of Molecular Biology, 434(11), p. 167556.
Pardo-Diaz, J. et al. (2022) “Extracting information from gene coexpression networks of Rhizobium leguminosarum”, Journal of Computational Biology, 29(7), pp. 752–768.
He, Y. et al. (2022) “SSSNET: semi-supervised signed network clustering”, in Proceedings of the SIAM International Conference on Data Mining (SDM22). Society for Industrial and Applied Mathematics, pp. 244–252.