View source: R/find_targeting_nodes.R

find_targeting_nodes | R Documentation |

Finds potential affecting node for given particular target.

```
find_targeting_nodes(
input_graph,
how = 2,
cycle = 1,
limit = 0,
fast = 0,
top = 5,
target = NULL
)
```

`input_graph` |
The graph object that was processed with priming_graph function. |

`how` |
The change of count (expression) of the given node in terms of fold change. |

`cycle` |
The iteration of simulation. |

`limit` |
The minimum fold change which can be taken into account for perturbation calculation on all nodes in terms of percentage. |

`fast` |
specifies percentage of affected target in target expression. For example, if fast = 1, the nodes that are affected from miRNA repression activity more than one percent of their expression is determined as subgraph. |

`top` |
Determines how many nodes most affected will be evaluated. |

`target` |
The target node in which is being investigated. |

Lists potential targeting nodes by running find_affected_nodes function for all nodes in network.

It gives a tibble form dataset that includes parturbation node (source) and change in count of targeting node

```
data('midsamp')
midsamp%>%
priming_graph(competing_count = Gene_expression,
miRNA_count = miRNA_expression)%>%
find_targeting_nodes(how = 2,
cycle = 2,
target = "Gene1",
top = 2)
```

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