query_pval_ngenes: Query using p-values to choose number of genes
In alexvpickering/ccbench: Benchmark Connectivity Mapping Approaches

Query using p-values to choose number of genes

query_pval_ngenes(
  dprimes,
  drug_info,
  pvals,
  breaks = c(seq(0.01, 0.3, 0.01), seq(0.3, 1, 0.05))
)

`dprimes`	List with names of signatures to query with. Each item of list is named a numeric vector of effect size values with names corresponding to the gene.
`drug_info`	Matrix of differential expression values to query against. Row names are genes and column names are signatures.
`pvals`	Same as `dprimes` but p-values or FDRs in place of effect size values.
`breaks`	Breaks to use for determing `ngenes` argument to `query_drugs`.

Named list with items:

`resl`	For each value of `breaks`, a list of pearson correlations between each signature in `dprimes` and `drug_info`.
`ngenes`	For each value of `breaks`, a numeric vector indicating the number of genes used for the query.