Description Usage Arguments Value Examples

This method was developed to remove a mean-correlation relationship in correlation matrices built from gene expression data. It can serve as pre-processing step prior to a co-expression analysis.

1 | ```
normalize_correlation(cor_mat, ave_exp, ngrp, size_grp, ref_grp)
``` |

`cor_mat` |
A (square and symmetrix) correlation matrix. |

`ave_exp` |
A vector of expression levels, same length as the
number of rows of the correlation matrix in |

`ngrp` |
Number of bins in each row/column to be used to partition the correlation matrix, integer. |

`size_grp` |
Size of the outer bins to be used to appriximate the distribution of the inner bins, in order to smooth the normalization. Note that the product of size_grp and ngrp must be equal or larger than than the row/column number of cor_mat, and there is no smoothness in the normalization when they are equal. |

`ref_grp` |
Location of the reference bin on the diagonal, whose distribution will be used as target distribution in the normalization, an integer. |

A normalized correlation matrix.

1 2 3 4 5 6 |

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