GeneSrF
Gene selection with random forests.
Basic Information
| Repository | http://genesrf.iib.uam.es/ |
| Documentation | http://genesrf.iib.uam.es/help/genesrf-help.html |
| Main publication (DOI) | 10.1186/1471-2105-8-328 view |
| Contact email | ramon.diaz@iib.uam.es |
| Authors/Maintainers | Ramon Díaz Uriarte |
| Type of application | Web-service |
| Programming languages | PythonR |
| Keywords | Omics, Resources, Transcriptomics, RNA Sequencing (RNA-seq), Data Analysis, Artificial Intelligence, Machine Learning in Biology, Computational Techniques, High-performance Computing, Parallel Computing, Statistical Methods for Biology, Frequentist analysis, Multivariate statistics, Non-parametric statistics |
Technical details
| Input file formats | csv |
| Output file formats | csv, Other |
| Software compatibility | Linux, Mac, Windows |
| Hardware requirements | |
| Type of containerization | None |
| Wrapper type | None |
| Compatible tools | |
| Funding resource | National competitive funding |
| Funding support | National competitive funding, No funding |
Statistics
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| Repository clones (last 12 months) | |
| Repository clones (since first release) | |
| Citations (last 12 months) | <100 (~5 as of 15/10/2026) |
| Citations (since first release) | 100-1000 (223 as of 15/10/2026) |
| Early-stage researcher effort (development) | |
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