KEDDY 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 Protein-protein interaction prediction chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

KEDDY specifications


Unique identifier OMICS_31371
Alternative name Knowledge-based Evaluation of Dependency DiffentialitY
Software type Application/Script
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux
Programming languages Java
Computer skills Advanced
Stability Stable
Maintained Yes



Add your version


  • person_outline Sungwon Jung <>

Additional information

Two versions are available: a version for testing a single gene set and a version for testing MSigDB gene sets.

Publication for Knowledge-based Evaluation of Dependency DiffentialitY

KEDDY in publications

PMCID: 5916274
PMID: 29721285
DOI: 10.1002/ece3.3973

[…] mean trait values that can exist within the community, leading to a convergent trait distribution (bernard‐verdier et al., ; jung, violle, mondy, hoffmann, & muller, ; weiher, clarke, & keddy, ). in line with our observations for taxonomic diversity, also functional diversity responded more strongly to flooding than drought, indicating that flooding poses a more severe stress […]

PMCID: 5901219
PMID: 29686846
DOI: 10.1002/ece3.3886

[…] induced by natural or anthropogenic interferences (auble, friedman, & scott, ; bendix & hupp, ; gurnell, bertoldi, & corenblit, ; merritt, scott, leroy, auble, & lytle, ; toner & keddy, )., the impact of flow regime variability on riparian vegetation has been well documented in previous literature, such as the detriment when vegetation is scoured (bendix, ; crouzy, edmaier, […]

PMCID: 5901182
PMID: 29686843
DOI: 10.1002/ece3.3904

[…] ecol evol. 2018;8:3617–3627. , biological assemblages are the result of both contemporary ecological processes (chase & leibold, ; hutchinson, ; weiher & keddy, ) and biogeographic history (ackerly, ; haffer, ; tofts & silvertown, ). to understand the distribution patterns of biological diversity, ecologists have developed innovative tools […]

PMCID: 5816074
PMID: 29483922
DOI: 10.3389/fpls.2018.00015

[…] shoot is inversely related to water temperature (silberhorn et al., ), and a higher number of spathes per flowering shoot has been reported for populations in canada [36 spathes per flowering shoot; keddy, ] and northern france (20 spathes per flowering shoot; jacobs and pierson, ). in the present study, the number of spathes per flowering shoot of the hqb population was higher in a higher water […]

PMCID: 5817155
PMID: 29468034
DOI: 10.1002/ece3.3855

[…] similar is the coexisting species (compared to the full set of species in the dataset), as they should have similar traits to cope with the environmentally stressful conditions (weiher & keddy, ). we used the mfd standardized effect size (hereafter called mfdses) to estimate the strength of this environmental filter in each bin. mfdses was obtained from null models by randomizing […]

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

KEDDY institution(s)
Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, South Korea; Gachon Institute of Genome Medicine and Science, Gachon University, Gil Medical Center, Incheon, South Korea
KEDDY funding source(s)
Supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government Ministry of Science and Information & Communication Technology (MSIT) [2016R1C1B2016354].

KEDDY reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review KEDDY