|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Pathological behaviours of single progenitor model defy inference techniques
If you have a question about this talk, please contact Matthew Danish.
The development of cancer is a multistep process, driven the sequential acquisition of genomic alterations that transform cellular phenotype. The quantification of the effects of genetic and epigenetic on cellular dynamics is essential to understand the early stages in cancer evolution. A simple stochastic model captures the behaviour of stem cells in squamous epithelia in lineage tracing experiments. Here we discuss fundamental limitations of experimental analysis using this model arising from intrinsic properties of the model, and their implications for future studies of transformed stem cells.
This talk is part of the Testing & Verification For Computational Science series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsOptimization and Incentives Seminar Symposium on Computational Biology CamPoS (Cambridge Philosophy of Science) seminar
Other talksImages of Care and Dying with Profs Jane Maher, Bill Noble & Emma Wilson Heat Rises: 100 Years of Rayleigh-Bénard Convection (Rouse Ball Lecture) Masterclass: The health impacts of volcanic gases Single Cell Seminar reboot: first 3 short talks (10x, variation in multi-omics, combinatorial indexing JC) 'British Imperial Rule in China during the First Opium War (1840-1842)' 電車の中の居眠り― 車内空間とジェンダーを考察する ―