maigesActNet-class: maigesActNet class, store results of functional...

Description Details Slots Methods Author(s) See Also

Description

This class defines a structure to store the results of functional classification of gene networks that was proposed and implemented in this package. Objects of this type are generated by calling the function activeNet.

Details

Objects of this class are produced by calling the function activeNet over an object of class maiges to search for gene networks that present evidence of activation in different biological types. This is done according to the model proposed in the PhD thesis of the author of this package.

Slots

scores:

numerical matrix storing the results of a statistic to test the functional activation of the networks studied. The rows and columns of the matrix represents the biological sample types and the networks, respectively.

Pvalues:

numerical matrix storing the p-values of the statistical test. As in the previous slot, matrix rows and columns represents the biological sample types and the networks, respectively.

Date:

character string giving the date and time that the object was generated.

V.info:

list containg three characters. The first one is a string containing the R version used when the object was created. The second is a char vector with base packages and the last one is another char vector with additional packages and version numbers.

Methods

image

signature(x = 'maigesActNet'): image method for maigesActNet class. Display colour representation of the statistics or p-values of gene networks.

plot

signature(x = 'maigesActNet'): plot method for maigesActNet class. Do the same as image.

print

signature(x = 'maigesActNet'): print method for maigesActNet class.

show

signature(x = 'maigesActNet'): show method for maigesActNet class.

summary

signature(x = 'maigesActNet'): summary method for maigesActNet class.

Author(s)

Gustavo H. Esteves <gesteves@vision.ime.usp.br>

See Also

activeNet.


maigesPack documentation built on Nov. 8, 2020, 6:23 p.m.