MAList-class              package:limma              R Documentation

_M-_v_a_l_u_e, _A-_v_a_l_u_e _E_x_p_r_e_s_s_i_o_n _L_i_s_t - _c_l_a_s_s

_D_e_s_c_r_i_p_t_i_o_n:

     A simple list-based class for storing M-values and A-values for a
     batch of spotted microarrays. 'MAList' objects are usually created
     during normalization by the functions 'normalizeWithinArrays' or
     'MA.RG'.

_S_l_o_t_s/_L_i_s_t _C_o_m_p_o_n_e_n_t_s:

     'MAList' objects can be created by 'new("MAList",MA)' where 'MA'
     is a list. This class contains no slots (other than '.Data'), but
     objects should contain the following list components:

       'M':  numeric matrix containing the M-values or log-2 expression ratios.  Rows correspond to spots and columns to arrays.
       'A':  numeric matrix containing the A-values or average log-2 expression values

       'weights':  numeric matric containing relative spot quality weights.  Should be non-negative.
       'printer':  list containing information on the process used to print the spots on the arrays.  See PrintLayout.
       'genes':    data.frame containing information on the genes spotted on the arrays.  Should include a character column 'Name' containing names for the genes or controls.
       'targets':  data.frame containing information on the target RNA samples.  Should include factor or character columns 'Cy3' and 'Cy5' specifying which RNA was hybridized to each array.

     All of the matrices should have the same dimensions. The row
     dimension of 'targets' should match the column dimension of the
     matrices.

_M_e_t_h_o_d_s:

     This class inherits directly from class 'list' so any operation
     appropriate for lists will work on objects of this class. In
     addition, 'MAList' objects can be subsetted and combined. 'RGList'
     objects will return dimensions and hence functions such as 'dim',
     'nrow' and 'ncol' are defined.  'MALists' also inherit a 'show'
     method from the virtual class 'LargeDataObject', which means that
     'RGLists' will print in a compact way.

     Other functions in LIMMA which operate on 'MAList' objects include
     'normalizeWithinArrays', 'normalizeBetweenArrays',
     'normalizeForPrintorder', 'plotMA' and 'plotPrintTipLoess'.

_A_u_t_h_o_r(_s):

     Gordon Smyth

_S_e_e _A_l_s_o:

     2.Classes gives an overview of all the classes defined by this
     package.

     'marrayNorm-class' is the corresponding class in the marrayClasses
     package.

