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For each random tree, we compute the distance with the developmental tree.
The process of differentiating between cells is expressed by labeling the developmental tree.
First, we compare the DTree structure inferred from the whole dataset with the lymphoid developmental tree.
Group 1 is an interesting case, where the DTree structure differs drastically from the developmental tree.
The developmental tree describing the order of differentiation of the cells is depicted in Figure 3 left.
Cell labeling schemes of a developmental tree can be used to depict the cell development of an evolving organism.
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They are conveniently depicted in diagrams that resemble genealogies of developmental stages, which we call developmental trees throughout this article.
Developmental trees from an abstract mathematical perspective are useful for understanding the complex process of how a single cell develops into a multicellular organism through cell divisions and differentiation.
Recently, the gene expression programs of developmental trees have been studied extensively using microarrays, which helps to elucidate underlying molecular processes (Akashi et al., 2003; Anisimov et al., 2007; Ferrari et al., 2007; Hyatt et al., 2006; Tomancak et al., 2002).
The availability of whole genome sequences of forest trees offers the opportunity to detect novel genes responsible for important developmental processes like tree growth or wood production.
One of the landmark achievements in the field of lineage tracing has been the ability to resolve the complete developmental cell-lineage tree for the roundworm Caenorhabditis elegans2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com