Macarthur, B., Stumpf, P. S., & Oreffo, R. (2020). From mathematical models and machine learning to clinical reality. In R. Lanza, R. Langer, J. Vacanti, & A. Atala (Eds.), Principles of Tissue Engineering (5th ed., pp. 37-51). Academic Press. https://doi.org/10.1016/B978-0-12-818422-6.00001-0
Greulich, P., Smith, R., & Macarthur, B. (2020). Physics of cell fate. In H. Levine, M. K. Jolly, P. Kulkarni, & V. Nanjundiah (Eds.), Phenotypic Switching: Implications in Biology and Medicine (1 ed.). Academic Press.
Stumpf, P., & Macarthur, B. (2014). Visualization and Clustering of High-Dimensional Transcriptome Data Using GATE. In Stem Cell Transcriptional Networks: Methods and Protocols (Vol. 1150, pp. 131-139). (Methods in Molecular Biology). Springer. https://doi.org/10.1007/978-1-4939-0512-6_7
Macarthur, B., & Oreffo, R. (2013). From mathematical models to clinical reality. In Principles of Tissue Engineering Elsevier. https://doi.org/10.1016/B978-0-12-398358-9.00003-3
Ridden, S. J., & MacArthur, B. D. (2012). Cell fate regulatory networks. In A. Ma'ayan, & B. D. MacArthur (Eds.), New Frontiers of Network Analysis in Systems Biology (pp. 15-29). Springer. https://doi.org/10.1007/978-94-007-4330-4_2

Nakamura-Ishizu, A., MacArthur, B. D., & Suda, T. (2019). Beginning of a new era: Mapping the bone marrow niche. Cell, 177(7), 1679-1681. https://doi.org/10.1016/j.cell.2019.05.042
Casey, M. J., Stumpf, P., & MacArthur, B. D. (2019). Theory of cell fate. Wiley Interdisciplinary Reviews: Systems Biology and Medicine. https://doi.org/10.1002/wsbm.1471

MATH6140 Structure and Dynamics of Networks

Professor Ben MacArthur
Building 54 Mathematical Sciences University of Southampton Highfield Southampton SO17 1BJ

Room Number : 85/Level 6

Professor Ben MacArthur's personal home page