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


No version available


This tool is not available anymore.

Publication for FacPad

FacPad citations


Identifying drug pathway association pairs based on L2,1 integrative penalized matrix decomposition

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

[…] ways. 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 the […]


Identifying drug pathway association pairs based on L1L2,1 integrative penalized matrix decomposition

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

[…] the 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 […]

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.

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