join_targets {miRetrieve} | R Documentation |
Add miRNA targets from an xlsx-file to a data frame
Description
Add miRNA targets from an external xlsx-file to a data frame.
Usage
join_targets(
df,
excel_file,
col.pmid.excel,
col.target.excel,
col.mir.excel = NULL,
col.pmid.df = PMID,
col.topic.df = NULL,
filter_na = TRUE,
stem_mir_excel = TRUE,
reduce = FALSE
)
Arguments
df |
Data frame containing PubMed-IDs that the miRNA targets shall be joined to. |
excel_file |
xlsx-file. xlsx-file containing miRNA targets and PubMed-IDs. |
col.pmid.excel |
String. Column containing PubMed-IDs of the
|
col.target.excel |
String. Column containing targets of the
|
col.mir.excel |
String. Optional. Column containing miRNAs of the
|
col.pmid.df |
Symbol. Column containing PubMed-IDs in |
col.topic.df |
Symbol. Optional. Only important if |
filter_na |
Boolean. If |
stem_mir_excel |
Boolean. If |
reduce |
Boolean. If |
Details
Add miRNA targets from an external xlsx-file to a data frame. To add the targets to the
data frame, the xlsx-file and the data frame need to have one column in
common, such as PubMed-IDs.
join_targets()
can return two different data frames, regulated by reduce
:
If
reduce = FALSE
,join_targets()
adds targets from an excel-file to the data frame in a new column. These targets then correspond to the targets determined in the research paper, but do not necessarily correspond to the miRNA names mentioned in the abstract.If
reduce = TRUE
,join_targets()
adds targets from an xlsx-file to the data frame in a new column. However, an altered data frame is returned, containing the PubMed-IDs, targets, and miRNAs from the excel-file. Forreduce = TRUE
to work, the xlsx-file provided must contain a column with miRNA names.
Value
Data frame containing miRNA targets.
See Also
Other target functions:
count_target()
,
join_mirtarbase()
,
plot_target_count()
,
plot_target_mir_scatter()