This class defines a structure to store the results of relevance network analysis,
using a method that compare the correlation values between pairs of
genes in two different sample types by a
z-transformation. Objects of this type are generated calling
Objects of this class are produced by calling the functions
relNetworkM over an object of class
to search for pairs of genes with altered correlation values between
two sample types tested.
numeric matrix giving the W values of the genes tested. This information is useful for doing plots representing the correlation coefficient values.
numerical square matrix that store the correlation coefficient values between all pair of genes tested for the first sample type.
numerical matrix similar to the previous one, storing the correlation values for the second sample type.
numerical matrix that store the p-value for the comparison between the correlation values of both sample types tested.
character vector giving the names of sample types tested.
string with the sample label used to define the two sample types tested.
character string giving the date and time that the object was generated.
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.
signature(x = 'maigesRelNetM'): image method for
maigesRelNetM class. Display colour representation of
the correlation and p-values matrices.
signature(x = 'maigesRelNetM'): plot method for
maigesRelNetM class. Display circular graphs
representing the relevance networks.
signature(x = 'maigesRelNetM'): print method for
signature(x = 'maigesRelNetM'): show method for
signature(x = 'maigesRelNetM'): summary method for
Gustavo H. Esteves <firstname.lastname@example.org>
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