MLCS - Machine learning for computational science statistical and formal modeling of biological systems

Sanguinetti, Guido (Principal Investigator)

Status	Finished
Effective start/end date	1/10/12 → 30/09/17

Funding

EU government bodies: £1,093,803.00

29 Article
11 Conference contribution

Detecting repeated cancer evolution from multi-region tumor sequencing data
Caravagna, G., Giarratano, Y., Ramazzotti, D., Tomlinson, I., Graham, T. A., Sanguinetti, G. & Sottoriva, A., 1 Sept 2018, In: Nature Methods. 15, 9, p. 707-714 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
The Broad-Spectrum Antimicrobial Potential of [Mn(CO)₄S₂CNMe(CH₂CO₂H)], a Water-Soluble CO-Releasing Molecule (CORM-401): Intracellular Accumulation, Transcriptomic and Statistical Analyses, and Membrane Polarization
Wareham, L., McLean, S., Beqq, R., Rana, N., Ali, S., Kendall, J., Sanguinetti, G., Mann, B. & Poole, R., 10 May 2018, In: Antioxidants and Redox Signaling. 28, 14, 66 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
ProPPA: Probabilistic Programming for Stochastic Dynamical Systems
Georgoulas, A., Hillston, J. & Sanguinetti, G., 23 Jan 2018, In: ACM Transactions on Modeling and Computer Simulation. 28, 1, 23 p., 3.
Research output: Contribution to journal › Article › peer-review

Open Access
File