Phenopredict statistics

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

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Unclassified tools chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

Phenopredict specifications

Information


Unique identifier OMICS_18951
Name Phenopredict
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU Affero General Public License version 3
Computer skills Advanced
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Maintainer


  • person_outline Jeffrey Leek <>

Publication for Phenopredict

Phenopredict in publication

PMCID: 5799769
PMID: 28967908
DOI: 10.1038/onc.2017.328

[…] (1039 phenotypes). the jaccard coefficient is 0.136 (294/(1426+1039–296)) between hgsoc and ibuprofen. based on the jaccard coefficient values, drugpredict ranked indomethacin higher than ibuprofen. phenopredict built phenotype profiles for all drugs and then calculated the jaccard coefficients for each drug. the output of drugpredict is a list of drugs ranked based on the jaccard coefficients., […]


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

Phenopredict institution(s)
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
Phenopredict funding source(s)
Supported by NIH R01 GM105705.

Phenopredict reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review Phenopredict