Modelling the immune response to cancer: an individual-based approach accounting for the difference in movement between inactive and activated T cells
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Publication:1670474
DOI10.1007/s11538-018-0412-8zbMath1396.92037OpenAlexW2792202255WikidataQ88047750 ScholiaQ88047750MaRDI QIDQ1670474
Mark A. J. Chaplain, Fiona R. Macfarlane, Tommaso Lorenzi
Publication date: 5 September 2018
Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10023/17262
Processes with independent increments; Lévy processes (60G51) Medical applications (general) (92C50) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Cell movement (chemotaxis, etc.) (92C17)
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