`dDAGancestor`

is supposed to find a list of common ancestors
shared by two terms/nodes, given a direct acyclic graph (DAG; an
ontology). If two terms are given as NULL, then a sparse matrix of
children x ancestors is built for all terms. If one of them is null,
then a sparse matrix of children x ancestors is built but only for
non-null input terms.

1 | ```
dDAGancestor(g, term1 = NULL, term2 = NULL, verbose = T)
``` |

`g` |
an object of class "igraph" or "graphNEL" |

`term1` |
the first term/node as input |

`term2` |
the second term/node as input |

`verbose` |
logical to indicate whether the messages will be displayed in the screen. By default, it sets to true for display |

When two terms are given: a list of terms/nodes that are common ancestors for two input terms/nodes

When two terms are given as NULL: a sparse matrix of children x ancestors is built for all terms, with '1' for the reachable and otherwise '0'.

When one of terms is given as NULL: a sparse matrix of children x ancestors is built but only for non-null input terms, with '1' for the reachable and otherwise '0'.

none

1 2 3 4 5 6 7 8 9 10 | ```
# 1) load HPPA as igraph object
ig.HPPA <-dRDataLoader(RData='ig.HPPA')
g <- ig.HPPA
# 2) randomly give two terms
term1 <- sample(V(g)$name,1)
term2 <- sample(V(g)$name,1)
# 3) find common ancestors
dDAGancestor(g, term1, term2)
``` |

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