voomDDA specifications
Information
| Unique identifier | OMICS_22482 |
|---|---|
| Name | voomDDA |
| Interface | Web user interface |
| Restrictions to use | None |
| Programming languages | R |
| Computer skills | Basic |
| Version | 1.5 |
| Stability | Stable |
| Maintained | Yes |
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Maintainers
- person_outline Gokmen Zararsiz
- person_outline Gokmen Zararsiz
Publication for voomDDA
voomDDA citation
library_books
voomDDA: discovery of diagnostic biomarkers and classification of RNA seq data
2017
PeerJ
PMCID: 5633036
PMID: 29018623
DOI: 10.7717/peerj.3890
[…] developed approaches, a user-friendly web application is developed with the shiny package of R. This tool is an interactive platform, which can be accessed through http://www.biosoft.hacettepe.edu.tr/voomDDA/. All source codes are available on GitHub (https://github.com/gokmenzararsiz/voomDDA) and in . The tool includes the sparse voomNSC, non-sparse voomDLDA and voomDQDA algorithms accompanied wi […]
voomDDA institution(s)
Department of Biostatistics, Erciyes University, Kayseri, Turkey; Turcosa Analytics Solutions Ltd Co, Erciyes Teknopark, Kayseri, Turkey; Department of Biostatistics, Hacettepe University, Ankara, Turkey; European Molecular Biology Laboratory, Heidelberg, Germany; Department of Biostatistics, Trakya University, Edirne, Turkey; Department of Biology, Istanbul University, Istanbul, Turkey
voomDDA funding source(s)
Supported by the Research Fund of Erciyes University [TDK-2015-5468].
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