Protocols

EDCF specifications

Information


Unique identifier OMICS_10110
Name EDCF
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

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Versioning


No version available

Maintainer


  • person_outline Minzhu Xie

Publication for EDCF

EDCF citations

 (2)
library_books

Epistasis analysis of microRNAs on pathological stages in colon cancer based on anĀ Empirical Bayesian Elastic Net method

2017
BMC Genomics
PMCID: 5657052
DOI: 10.1186/s12864-017-4130-7

[…] ethods have been proposed to identify epistasis on dichotomous phenotypes as in case-control studies. These methods include an Epistasis Detector based on the Clustering of relatively Frequent items (EDCF) [], a Bayesian inference method called Detecting genome-wide Association on Multiple diseases (DAM) [], a Multi-SNP Combination Set Detector (MSCD) based on a combinatorial optimization model [] […]

call_split

HiSeeker: Detecting High Order SNP Interactions Based on Pairwise SNP Combinations

2017
Genes
PMCID: 5485517
PMID: 28561745
DOI: 10.3390/genes8060153
call_split See protocol

[…] y search all K-locus interactions on a genome-wide scale due to the exponential increase of search space. Even so, some two-stage methods have been proposed to search high-order interactions, such as EDCF, DCHE and CINOEDV. These methods simply take top-k most significant two-locus interactions or two-locus interactions passing a specified significance threshold (i.e., Bonferroni-corrected signifi […]

EDCF institution(s)
Department of Computer Science and Engineering, University of California, Riverside, CA, USA
EDCF funding source(s)
National Institutes of Health/National Library of Medicine grant (2R01LM008 991); National Natural Science Foundation of China grant (61070145) in part

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