join_targets.RdAdd miRNA targets from an external xlsx-file to a data frame.
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 )
| 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 |
Data frame containing miRNA targets.
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. For reduce = TRUE to work, the xlsx-file provided
must contain a column with miRNA names.
Other target functions:
count_target(),
join_mirtarbase(),
plot_target_count(),
plot_target_mir_scatter()