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- W2912366619 abstract "Cell differentiation is often associated with specific divisions and generations in a lineage tree. The presence of phenotypic noise, however, can make it difficult to observe such patterns. Using the group symmetry representation of a binary tree, it is shown how variation in a lineage can be compactly described by a set of natural variables each of which is labelled by the division at which a type of variation arises and the generation at which it is expressed. This harmonic analysis for a rooted tree provides a disciplined way to aggregate tree-structured data, improving the ability to identify differentiation patterns in noisy lineages. It also allows the proportion of variation of a phenotypic fate associated with each division to be estimated and compared to the proportion of variation expressed at each generation. The method has been applied to T-lymphocyte lineages tracked using time-lapse microscopy over several generations. For comparison, the analysis has been applied to C. elegans, a lineage with clear differentiation stages, and to a stationary branching process, which has none." @default.
- W2912366619 created "2019-02-21" @default.
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- W2912366619 date "2018-02-18" @default.
- W2912366619 modified "2023-09-24" @default.
- W2912366619 title "Statistical Inference in Cell Lineage Trees" @default.
- W2912366619 hasPublicationYear "2018" @default.
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