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Group by: Official Date | Item Type | Funder | No Grouping
Jump to: 2023 | 2022 | 2021 | 2019 | 2018 | 2016 | 2015 | 2014
Number of items: 14.

2023

Cavallaro, Massimo, Moran, Ed, Collyer, Benjamin, McCarthy, Noel D., Green, Christopher and Keeling, Matt J. (2023) Informing antimicrobial stewardship with explainable AI. PLOS Digital Health, 2 (1). e0000162. doi:10.1371/journal.pdig.0000162 ISSN 2767-3170. [ 🗎 Public]. [ (✓) hoa:511 ]

2022

Cavallaro, Massimo, Coelho, Juliana, Ready, Derren, Decraene, Valerie, Lamagni, Theresa, McCarthy, Noel D., Todkill, Daniel and Keeling, Matt J. (2022) Cluster detection with random neighbourhood covering : application to invasive Group A Streptococcal disease. PLoS Computational Biology, 18 (11). e1010726. doi:10.1371/journal.pcbi.1010726 ISSN 1553-7358. [ (🔓): Yes ].

2021

Zhang, Jie, Cavallaro, Massimo and Hebenstreit, Daniel (2021) Timing RNA polymerase pausing with TV-PRO-seq. Cell Reports Methods, 1 (6). 100083. doi:10.1016/j.crmeth.2021.100083 ISSN 2667-2375. [ 🗎 Public]. [ (🔓): Yes ].

Cavallaro, Massimo, Moiz, Haseeb, Keeling, Matt J. and McCarthy, Noel D. (2021) Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values. PLoS Computational Biology, 17 (6). e1009121. doi:10.1371/journal.pcbi.1009121 ISSN 1553-7358. [ 🗎 Public]. [ (✓) hoa:511 ]

Cavallaro, Massimo, Moiz, Haseeb, Keeling, Matt J. and McCarthy, Noel D. (2021) Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values. Working Paper. Cold Spring Harbor: MedRXiv.

Cavallaro, Massimo, Walsh, Mark David, Jones, Matt, Teahan, James, Tiberi, Simone, Finkenstädt, Bärbel and Hebenstreit, Daniel (2021) Data for 3'-5' crosstalk contributes to transcriptional bursting. [Dataset]

Cavallaro, Massimo, Walsh, Mark D., Jones, Matt, Teahan, James, Tiberi, Simone, Finkenstädt, Bärbel and Hebenstreit, Daniel (2021) 3’-5’ crosstalk contributes to transcriptional bursting. Genome Biology, 22 . 56. doi:10.1186/s13059-020-02227-5 ISSN 1474-7596. [ 🗎 Public]. [ (🔓): Yes ].

Cavallaro, Massimo, Wang, Yuexuan, Hebenstreit, Daniel and Dutta, Ritabrata (2021) Bayesian inference of PolII dynamics over the exclusion process. (Submitted)

2019

Cavallaro, Massimo and Harris, Rosemary J. (2019) Effective bandwidth of non-Markovian packet traffic. Journal of Statistical Mechanics: Theory and Experiment, 2019 . 083404. doi:10.1088/1742-5468/ab33fa ISSN 1742-5468. [ 🗎 Public]. [ (✓) hoa:511 ]

2018

Tiberi, Simone, Walsh, Mark David, Cavallaro, Massimo, Hebenstreit, Daniel and Finkenstädt, Bärbel (2018) Bayesian inference on stochastic gene transcription from flow cytometry data. Bioinformatics, 34 (17). i647-i655. doi:10.1093/bioinformatics/bty568 ISSN 1367-4811. [ 🗎 Public]. [ (🔓): Yes ].

2016

Cavallaro, Massimo and Harris, Rosemary J. (2016) A framework for the direct evaluation of large deviations in non-Markovian processes. Journal of Physics A: Mathematical and Theoretical, 49 (47). 47LT02. doi:10.1088/1751-8113/49/47/47LT02 ISSN 1751-8113. [ 🗎 Public].

2015

Cavallaro, Massimo, Mondragón, Raúl J. and Harris, Rosemary J. (2015) Temporally correlated zero-range process with open boundaries : steady state and fluctuations. Physical Review E, 92 (2). 022137. doi:10.1103/PhysRevE.92.022137 ISSN 1539-3755.

2014

Cavallaro, Massimo, Asprone, D., Latora, V., Manfredi, G. and Nicosia, V. (2014) Assessment of urban ecosystem resilience through hybrid social-physical complex networks. Computer-Aided Civil and Infrastructure Engineering, 29 (8). pp. 608-625. doi:10.1111/mice.12080 ISSN 1093-9687.

Asprone, D., Cavallaro, Massimo, Latora, V., Manfredi, G. and Nicosia, V. (2014) Urban network resilience analysis in case of earthquakes. In: Deodatis, George and Ellingwood, Bruce R. and Frangopol, Dan M., (eds.) Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures. London: CRC Press, pp. 4069-4075. ISBN 781138000865

This list was generated on Mon Jan 30 22:27:42 2023 GMT.
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