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3 projects in result set.
0. Global Soil Information Facilities - Global Soil Information Facilities is an initiative of the ISRIC — World Soil Information Institute and Africa Soil Information Service (africasoils.net) team. |
- Development Status : 1 - Planning [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
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- Programming Language : Python [Filter]
- Programming Language : R (Now Filtering)
- Topic : Environmetrics [Filter]
- Topic : Spatial Data & Statistics [Filter]
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Activity Percentile: 0.00
Registered: 2011-06-12 20:12 |
1. NewmanOmics - Develop and implement extensions to the Newman studentized range statistic that can be applied to transcriptomic data |
- Development Status : 4 - Beta [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved [Filter]
- Natural Language : English (Now Filtering)
- Operating System : OS Independent (Now Filtering)
- Programming Language : Python [Filter]
- Programming Language : R (Now Filtering)
- Topic : Bioinformatics : Statistics [Filter]
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Activity Percentile: 0.00
Registered: 2017-02-15 20:58 |
2. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
- Operating System : OS Independent (Now Filtering)
- Programming Language : C/C\+\+ [Filter]
- Programming Language : Python [Filter]
- Programming Language : R (Now Filtering)
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Optimization [Filter]
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Registered: 2011-05-09 12:56 |