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9 projects in result set.
0. renjin - Renjin is ongoing project to implement a new interpreter for the R language that runs within the Java Virtual Machine, and specifically on the Google AppEngine platform | |
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Activity Percentile: 0.00 Registered: 2010-12-14 19:46 |
1. radR - processing of radar data in R - radR retrieves data from your live radar or recorded archive and analyses it for features, which are saved in replayable files that are much smaller than raw data sets. You can extend radR via plugins. | |
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Activity Percentile: 0.00 Registered: 2007-11-20 20:30 |
2. TreeHotspots - Classification trees can identify multiple clusters at many different scales at various angles.
We find "hotspots", i.e. regions of high and low densities or rates w.r.t. some baseline. | |
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Activity Percentile: 0.00 Registered: 2016-03-16 13:24 |
3. Customized Gene Set Enrichment Analysis - Customized Gene Set Enrichment Analysis, including GO/KEGG. | |
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Activity Percentile: 0.00 Registered: 2009-07-07 03:54 |
4. Isolation Forest - This package implements an anomaly detection method that detects data-anomalies using binary trees. Using the property that anomalies are more susceptible to isolation, anomalies can be detected as data points which have short expected path lengths. | |
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Activity Percentile: 0.00 Registered: 2009-07-14 06:02 |
5. SciViews - SciViews: a R GUI API, and a R GUI extension for Komodo Edit. | |
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Activity Percentile: 0.00 Registered: 2008-05-26 16:41 |
6. Biclustering Algorithm - Development of (bi)Clustering Algorithms for Clustering Samples Based on Gene Expression Data. | |
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Activity Percentile: 0.00 Registered: 2009-02-28 12:21 |
7. Micro-magnet Dynamics Simulation Package - Magnets is a numerical simulation package aiming at helping physicists
and electrical engineers who are interested in studying the micro-magnet spin system, which is one of the future integrated circuits with the privilege of low energy consumption. | |
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Activity Percentile: 0.00 Registered: 2010-05-05 23:51 |
8. rmodest - Rmodest is a package that will allow you to easily fit mortality functions to your survival data, and to test hypotheses about your data. | |
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Activity Percentile: 0.00 Registered: 2008-04-24 04:24 |