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DepEst specifications
Information
| Unique identifier | OMICS_15303 |
|---|---|
| Name | DepEst |
| Software type | Package/Module |
| Interface | Command line interface |
| Restrictions to use | None |
| Input data | The gene expression dataset, the name of the estimator, the required arguments of the specified estimator. |
| Operating system | Unix/Linux, Mac OS, Windows |
| Programming languages | C++, R |
| Computer skills | Advanced |
| Version | 1.1 |
| Stability | Stable |
| Requirements |
Parallel, foreach, snow, doSNOW, corpcor, Rtools
|
| Maintained | Yes |
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Versioning
No version available
Maintainer
- person_outline Gökmen Altay
Publication for DepEst
library_books
DepEst: an R package of important dependency estimators for gene network inference algorithms.
2017 BioRxiv
DOI: 10.1101/102871
DepEst citation
library_books
Estimation of the proteomic cancer co expression sub networks by using association estimators
2017
PLoS One
PMCID: 5690670
PMID: 29145449
DOI: 10.1371/journal.pone.0188016
[…] For the analyses, the build.mim function from the minet [], the obtain.mim function from the DepEst [] and the chooseOneHubInEachModule, adjacency, TOMsimilarity, cutreeDynamic and hclust functions from the WGCNA packages were used. The selected association estimators are indicated by the spe […]
DepEst institution(s)
La Jolla Institute for Allergy and Immunology, CA, USA; Computer Engineering, Yildiz Technical University, Istanbul, Turkey; Department Integrative Biology & Physiology, University of California Los Angeles, CA, USA
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