Description Usage Arguments Details Value Author(s)

A fitness function for the GABi biclustering framework, based on the principle that the less likely a bicluster would be observed by chance, the more interesting it is to discover that bicluster.

1 | ```
getFitnesses.entropy(chr)
``` |

`chr` |
Numeric vector representing a GA solution to the biclustering problem (i.e. a subset of the columns from |

A fitness function is fundamental to the success of a GA. In this case, `getFitnesses.entropy`

evaluates the desirability of biclusters by estimating the probability of a given selection of the columns from dataset `x`

(argument for function `GABi`

) displaying a consistent block of `1`

s involving the features that are observed to fit this pattern. Makes use of `fitnessArgs`

a list of parameters in the environment of execution of the biclustering function `GABi`

. Notably, the element `featureWeights`

is a numeric vector encoding the probability of any randomly selected column of the input matrix `x`

having a high value of the corresponding row. This is used in the entropy calculation for the corresponding bicluster. And the element `consistency`

is used to apply a stringency threshold for selecting features (i.e. only those with the proportion of high values across the subset of samples being greater than `consistency`

).

Numeric value representing fitness score for the solution encoded by `chr`

.

Ed Curry [email protected]

GABi documentation built on May 1, 2019, 8:19 p.m.

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