R: Generation functions for biologically relevant function...

generationFunctions {BoolNet} | R Documentation

## Generation functions for biologically relevant function classes

### Description

These generation functions randomly generate canalyzing or nested canalyzing Boolean functions. These functions are usually not called directly, but are supplied to the `functionGeneration` parameter of `generateRandomNKNetwork`.

### Usage

    generateCanalyzing(input)
    generateNestedCanalyzing(input)

### Arguments

`input` | A vector of input gene indices for the Boolean function

### Value

A binary vector corresponding to the result column of the truth table that represents the canalyzing/nested canalyzing function.

### References

S. Kauffman and C. Peterson and B. Samuelsson and C. Troein (2004), Genetic networks with canalyzing Boolean rules are always stable. PNAS 101(49):7102–17107.

### See Also

`generateRandomNKNetwork`

### Examples

      # generate a random network with canalyzing functions
      net1 <- generateRandomNKNetwork(n=10, k=5,
                                      functionGeneration="generateCanalyzing")
      print(net1)

      # generate a random network with nested canalyzing functions
      net2 <- generateRandomNKNetwork(n=10, k=5,
                                      functionGeneration="generateNestedCanalyzing")
      print(net2)

[Package BoolNet version 2.1.4 Index]