FacPad statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Drug-target interaction prediction chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

FacPad specifications


Unique identifier OMICS_15573
Name FacPad
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Version 3.0
Stability Stable
Rlab, MASS
Source code URL https://cran.r-project.org/src/contrib/FacPad_3.0.tar.gz
Maintained No


Add your version


This tool is not available anymore.

Publication for FacPad

FacPad in publications

PMCID: 5770056
PMID: 29297378
DOI: 10.1186/s12918-017-0480-7

[…] but the gsea method does not consider the known pathway information, its identification precision is poor []. in order to improve the identification precision and use the prior information, the facpad method is proposed to predict drug-pathway associations, and it build a sparse bayesian factor analysis model to infer pathway responsive for drug treatments []. in order to further improve […]

PMCID: 5564627
PMID: 28624800
DOI: 10.18632/oncotarget.18254

[…] drug effects into the global physiological environment account []. these existing computational methods for identifying drug targets include the gene set enrichment analysis (gsea) method [], the facpad method [], the ifad method [] and the ipad method [], etc. the gsea method has several disadvantages. firstly, for every paired drug-pathway association, calculation must be done once at every […]

To access a full list of publications, you will need to upgrade to our premium service.

FacPad institution(s)
Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
FacPad funding source(s)
This work was supported by National Institutes of Health GM59507 and NIH R21-GM084008 and NSF DMS 1106738.

FacPad reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review FacPad