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Basically, the latter is a forest-based (multiple parents-to-multiple children) tree structure where each participant node has multiple parents as well as multiple children.
Each term can have multiple parents as well as multiple children and it is traced backward to the root of depth 0. If a gene ge is annotated with a GO term pe, then ge is annotated with all of the ancestor GO terms of pe.
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Although the ontology is actually a directed acyclic graph, it is represented as tree nodes connected to multiple parents, shown as leaves at each relevant branch of the tree.
Any nodes with multiple parents are represented as redundant branches from the main tree.
The leptin, insulin, and adiponectin parent-offspring regressions were only significant in the replication cohort (Figure 1), suggesting that measuring both parents as well as multiple children increased the power of this analysis; only aPAI1 showed reduced significance in the replication cohort.
As multiple parents are involved and clutch sizes are very large, the dynamics of broadcast spawning are best assessed through genetic determination of parentage.
The resulting structure is in fact a DAG and not a tree, as many nodes have multiple parents (Fig. 6A) and multiple children (Fig. 6B).
The semantic similarity of one GO term go1 and a GO terms set GO = { go1, go2... go k} is dfined as: (10) As GO allows for multiple parents for each concept, two GO terms can share parents by multiple paths.
Vector Kalman filter using multiple parents.
Deactivated nodes can be deactivated by multiple parents.
Defining a configuration as a child of multiple parent nodes may result in conflicts, if multiple parents redefine a given parameter to different values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com