maigesPreRaw-class: maigesPreRaw class, store pre raw microarray datasets

Description Details Slots Methods Author(s) See Also


This class describes objects to handle data values and information about genes and samples used in the data. Here, it is possible to put any field from data tables that you want.


This class of objects is intended to define an intermediate step between the external world (data tables, gene groups, gene networks, etc) and real raw objects given by the class maigesRaw. In this intermediate step the user can do any type of exploratory analysis and set bad spots (at slot BadSpots), or to do any type of calculation they judge important in the fields of Data slot.

This class of objects is created by a call from loadData. The functions addGeneGrps and addPaths may also be used to add information for gene groups and gene networks. After the exploratory analysis it must be converted in an object of class maigesRaw using the function createMaigesRaw.

If you have the package Rgraphviz installed and working it is possible to display the graphs stored in the slot Paths using the command plot.



contains a list with matrices. Each matrix has nrow = number of spots and ncol = number of data tables (or chips) with the numerical values of each data field specified by the user in the configuration file used as parameter for loadData function.


a list containing character vectors. These vectors specify genes from the gene groups that must be studied. Each vector is used as a gene group. The names of the groups are catch from the names of the vectors from the list, that is catch from file names.


list containing graphNEL objects specifying gene regulatory networks (or pathways). As in the previous slot, the names are catch from file names and stored as names of the elements from the list.


a list containing the number of rows (gridR) and columns (gridC) of grids, the number of rows (spotR) and columns (spotC) of spots inside each grid and the total number of spots.


data frame giving the gene labels. These labels are generally used during the data analysis.


data frame giving the sample labels. These labels are generally used during the data analysis.


logical vector specifying spots that was judged as bad ones. By default this slot is created as a vector of FALSEs with same length as number of spots.


char string that receives any comment about the dataset. The dataset description is stored in this slot.


char string giving the date and hour that the object was created.

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 = 'maigesPreRaw'): print method for maigesPreRaw class.


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


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


Gustavo H. Esteves <>

See Also

loadData, addGeneGrps, addPaths, createMaigesRaw.

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