Description Usage Arguments Value Author(s) See Also

This function computes the Z transformation of the meta-estimate of pairwise correlation coefficients for a set of genes from a list of gene expression datasets.

1 | ```
compute.pairw.cor.z(datas, method = c("pearson"))
``` |

`datas` |
List of datasets. Each dataset is a matrix of gene expressions with samples in rows and probes in columns, dimnames being properly defined. All the datasets must have the same probes. |

`method` |
Estimator for correlation coefficient, can be either |

`z ` |
Z transformation of the meta-estimate of correlation coefficients. |

`se ` |
Standard error of the Z transformation of the meta-estimate of correlation coefficients. |

`nn ` |
Number of samples used to compute the meta-estimate of correlation coefficients. |

Benjamin Haibe-Kains

`map.datasets`

, `compute.pairw.cor.meta`

, `compute.proto.cor.meta`

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