recognize_fs_terms: Fold-specific GO terms recognition
In DanWiebe/fsgor: Package for Fold-specific GO Terms Recognition

Description Usage Arguments Value Examples

Recognizes fold-specific GO for each fold change interval versus differentialy expressed genes annotation, returns list contains dataframe with fold-specific GO terms data and not fold-fold-specific GO terms data accessible by fs and nfs keys correspondingly

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recognize_fs_terms(listoftables, wholeintname,
  listofcolnames = fsgor::colnameslist, p_adjust_method, fdr2step, fdr3step,
  fisher_alternative = "greater")

`listoftables`	list contains GO output tables as dataframes and interval names as leys
`wholeintname`	key for whole interval table specified in listoftables
`listofcolnames`	list of column names, must contain the following keys: "GO_id" - GO term identifier "name" - GO term name "namespace" - namespace of GO term "qit" - number of genes annotated to a term in query list "qtot" - number of genes in a query list "padj" - adjusted p-values, if you don't use any corrections on multiple testing assign the name of raw p-values column to this key (column names of internal annotation used as default value)
`p_adjust_method`	method name for correction on multiple correction, type "p.adjust.methods" in R Console to obtain all possiple values
`fdr2step`	value for fdr step 2
`fdr3step`	value for fdr step 3
`fisher_alternative`	indicates the alternative hypothesis and must be one of "two.sided", "greater" or "less". You can specify just the initial letter. Only used in the 2 by 2 case.