drug set enrichment analysis based on text mining
cite：Luo Z H, Zhu L D, Wang Y M, et al. DSEATM: drug set enrichment analysis uncovering disease mechanisms by biomedical text mining[J]. Briefings in Bioinformatics, 2022. https://doi.org/10.1093/bib/bbac228
devtools::install_github("luozhhub/DSEATM")
#or
install.packages("/XXXX(path)/DSEATM_1.0.0.tar.gz", repos = NULL, type="source")
We have stored the disease-drug and drug-gene associations in this package. Users can retrive drugs related to a specific disease, or genes related to a specific drugs
For example, to get the breast cancer related pathways
library("DSEATM")
BRCA_pathways = disease2pathway("D001943")
The manual is in the DSEATM-manual.pdf
In this package, the disease id and drug id are all MeSH terms. If you want to get more information for one MeSH term. Please refer to pyMeSHSim (https://github.com/luozhhub/pyMeSHSim)