Publications

Tirumala, D. et al. (2022) “Behavior Priors for Efficient Reinforcement Learning”, Journal of Machine Learning Research, 23.

Nicholson, G. et al. (2022) “Multivariate phenotype analysis enables genome-wide inference of mammalian gene function”, PLOS Biology, 20(8), p. e3001723.

Nicholson, G. et al. (2022) “Multivariate phenotype analysis enables genome-wide inference of mammalian gene function”, PLOS Biology, 20(8), p. e3001723.

Jersakova, R. et al. (2022) “Bayesian Imputation of COVID-19 Positive Test Counts for Nowcasting Under Reporting Lag”, Journal of the Royal Statistical Society Series C (Applied Statistics), 71(4), pp. 834–860.

Jersakova, R. et al. (2022) “Bayesian Imputation of COVID-19 Positive Test Counts for Nowcasting Under Reporting Lag”, Journal of the Royal Statistical Society Series C (Applied Statistics), 71(4), pp. 834–860.

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.

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.

Benedetto, U. et al. (2022) “Machine learning improves mortality risk prediction after cardiac surgery: Systematic review and meta-analysis”, Journal of Thoracic and Cardiovascular Surgery, 163(Int Stat Rev 80 2012), pp. 2075 – 2087.e9.