nucStat               package:y2hStat               R Documentation

_A _f_u_n_c_t_i_o_n _t_o _r_e_s_t_r_i_c_t _t_h_e _i_n_d_e_x_i_n_g _s_e_t _o_f _b_a_i_t _p_r_e_y _a_d_j_c_e_n_c_y _m_a_t_r_i_c_e_s

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

     This function will restrict the row and column indexing sets of
     the bait to prey adjacency matrices.

_U_s_a_g_e:

     nucStat(y2h, matL, square = FALSE)

_A_r_g_u_m_e_n_t_s:

     y2h: A three tiered list. Names of the second tier corresponds to
          ID of experiment. Names of the third tier should be the bait
          proteins. The entries of the third tier are character vectors
          of proteins detected as prey

    matL: A list of bait to prey adjacency matrices

  square: A logical

_D_e_t_a_i_l_s:

     Regardless of the logical argument square, the entry nucNuc of the
     output is a list of matrices where the rows and columns are
     indexed by nuclear proteins exclusively.

     If square is FALSE, the nucNot entry is a list of proteins indexed
     by nuclear proteins in the rows and non-nuclear proteins in the
     columns. If square is TRUE, then the rows and columns are indexed
     by all the same proteins in the argments, but the ordering of the
     proteins is re-arranged so that the nuclear proteins are listed
     first followed by the non-nuclear in both the rows and columns.

_V_a_l_u_e:

     A list of list. The top list consists of two sub-lists. The first
     sub-list is named nucNuc which indicates that the rows and columns
     are both indexed exclusively by nuclear proteins. The second is
     named nucNot which indicates that the rows are exclusively indexed
     by nuclear proteins but not the columns  

  nucNuc: A list of matrices where both row and columns are exclusively
          indexed by nuclear proteins

  nucNot: A list of matrices where the rows are  exclusively indexed by
          nuclear proteins but not columns

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

     T Chiang

_E_x_a_m_p_l_e_s:

