novelty.plots: Generate PubMed Central Trend plots.
In vittoriofortino84/ThETA: Transcriptome-based efficacy estimates of target(gene)-disease associations
Description
Usage
Arguments
Value
View source: R/script_tissue_specific_efficacy_score.R
Description
It uses the pmcplot function from R package 'enrichplot' to generate gene-based trend plots.
Usage
1
novelty.plots(list_genes, pubmed = c(2010, 2019), font_size = 8)
Arguments
list_genes
a list of gene names (SYMBOLS).
pubmed
period of query in the unit of year.
font_size
text size in pts.
Value
a PubMed-trend plot.
vittoriofortino84/ThETA documentation built on May 23, 2021, 4:24 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
View source: R/script_tissue_specific_efficacy_score.R
Description
It uses the pmcplot function from R package 'enrichplot' to generate gene-based trend plots.
Usage
1 | novelty.plots(list_genes, pubmed = c(2010, 2019), font_size = 8)
|
Arguments
list_genes |
a list of gene names (SYMBOLS). |
pubmed |
period of query in the unit of year. |
font_size |
text size in pts. |
Value
a PubMed-trend plot.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.