The function `Corrp2miRfile`

create a p value matrix and a pathway-miRNA correlation profile

1 | ```
Corrp2miRfile(pathway="kegg", species = "hsa")
``` |

`pathway` |
choose database of pathway,"kegg","biocarta" or"reactome" |

`species` |
Species of miRNAs(default: hsa) |

When users input interesting species and pathway, the function can calculate the p value between pathway and miRNA using hypergeometric.The p value can quantify the strength of the pathway regulated by each miRNA.The smaller p value is represent the bigger strength of regulate.Then p2m can get miRNA set(pmSET)for each pathway,which is a co-regulated miRNA set of this pathway(w>0).

`p` |
A p value weighted matrix (rows are pathway ,cols are miRNAs) |

`p2miR` |
pathway-miRNA correlation(pmSET) profile |

Junwei Hanhanjunwei1981@163.com,Siyao Liu liusiyao29@163.com

Rivals I, Personnaz L, Taing L, & Potier MC (2007) Enrichment or depletion of a GO category within a class of genes: which test? (Translated from eng) Bioinformatics 23(4):401-407 (in eng).

`MirSEA`

,`MsReport`

1 2 3 4 5 6 7 | ```
## Not run:
p2m<-Corrp2miRfile(pathway="kegg", species = "example")
p2m$p[1,1:10]
p2m$p2miR[1,1:5]
## End(Not run)
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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