pamr.knnimpute             package:pamr             R Documentation

_A _f_u_n_c_t_i_o_n _t_o _i_m_p_u_t_e _m_i_s_s_i_n_g _e_x_p_r_e_s_s_i_o_n _d_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     A function to impute missing expression data

_U_s_a_g_e:

     pamr.knnimpute(data ,k)

_A_r_g_u_m_e_n_t_s:

    data: The input data. A list with components: x- an expression
          genes in the rows, samples in the columns, and y-  a vector
          of the class labels for each sample. Same form as used by
          pamr.train, and same as that produced by pamr.from.excel

       k: Number of neighbors to be used in the imputation.Default=10 

_D_e_t_a_i_l_s:

     'pamr.knnimpute'  used k-nearest neighbors in the space of genes
     to impute missing expression values. For large data matrices with
     lots of missing values, this function can take a while to run.

_V_a_l_u_e:

    data: 

     {The input data list, with x replaced by the  imputed version of
     x}

_A_u_t_h_o_r(_s):

     Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, and
     Gilbert Chu

_R_e_f_e_r_e_n_c_e_s:

     Olga Troyanskaya, Michael Cantor, Gavin Sherlock, Pat Brown,
     Trevor Hastie, Robert Tibshirani, David Botstein and Russ B.
     Altman, Missing value estimation methods for DNA microarrays
     BIOINFORMATICS Vol. 17 no. 6, 2001 Pages 520-525

