# P value recalculation from multiple analysis (Transcriptomics)

I've done a differential expression analysis with transcriptomic information (microarrays and RNAseq) from different datasets by applying for some of them t-test and for the rest Wald-test. I've got many coincidences for these significant genes so I want to recalculate my p-values (or my adjusted p-values, obtained by the BH method) using all these datasets. What is the proper method to do this (if possible)? I am completely new in this field so any additional information would be appreciated.

Please use dedicated software for RNA-seq and microarray analysis and not naive tests such as the t-test. For microarray one commonly uses limma and for RNA-seq either DESeq2, edgeR or limma-voom, all are available as Bioconductor packages in R.