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Programming Language :: R [Remove This Filter]
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5 projects in result set.
0. biclust - An R-Package for Biclustering Algorithms.
The package contains a growing number of
bicluster algorithms, validation and visualization methods and other
helpful tool for bicluster analysis.
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- Development Status : 5 - Production/Stable [Filter]
- Natural Language : English (Now Filtering)
- Natural Language : German [Filter]
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Registered: 2007-04-21 16:04 |
1. Thresher - Thresher is a comprehensive, statistical approach to class discovery combining PCA with hierarchical clustering. It can (1) identify outliers, (2) estimate the number of subgroups, and (3) automate the selection of metrics and linkage rules.
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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- License : OSI Approved [Filter]
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- Programming Language : R (Now Filtering)
- Topic : Cluster Analysis : Model-based Clustering [Filter]
- Topic : Cluster Analysis : Other Cluster Algorithms (Now Filtering)
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Registered: 2014-05-08 14:18 |
2. cMonkey - cMonkey integrated biclustering algorithm for learning co-regulated gene modules.
Please visit http://cmonkey.systemsbiology.net for source code, documentation, and R packages.
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Topic : Bioinformatics [Filter]
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- Topic : Multivariate Statistics : Supervised Classification and Discriminant Analysis [Filter]
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Registered: 2010-05-14 17:19 |
3. NeuroSpatCo - The package is used to search for patterns of organization in human prefrontal cortex of both horizontal (cell body) and vertical plane (minicolumns).
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Other Environment [Filter]
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- Environment : X11 Applications [Filter]
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- Programming Language : Tcl [Filter]
- Topic : Cluster Analysis : Other Cluster Algorithms (Now Filtering)
- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2011-05-10 20:54 |
4. rEMM/TRACDS - Implements TRACDS (Temporal Relationships between Clusters for Data Streams) which adds a temporal/order model to data stream clustering via a dynamically adapting Markov Chain. Supported in part by NSF IIS-0948893 and NHGRI R21HG005912.
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- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Topic : Machine Learning [Filter]
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Registered: 2009-04-11 15:09 |
