CLUster Evaluation (CLUE) is a computational method for identifying optimal number of clusters in a given time-course dataset clustered by cmeans or kmeans algorithms and subsequently identify key kinases or pathways from each cluster. Its implementation in R is called ClueR. See Readme on <https://github.com/PengyiYang/ClueR> for more details.
| Version: | 1.2 |
| Depends: | R (≥ 2.10.0), e1071, parallel |
| Published: | 2017-04-30 |
| Author: | Pengyi Yang |
| Maintainer: | Pengyi Yang <pengyi.yang at sydney.edu.au> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ClueR results |
| Reference manual: | ClueR.pdf |
| Package source: | ClueR_1.2.tar.gz |
| Windows binaries: | r-devel: ClueR_1.2.zip, r-release: ClueR_1.2.zip, r-oldrel: ClueR_1.2.zip |
| OS X binaries: | r-release: ClueR_1.2.tgz, r-oldrel: ClueR_1.2.tgz |
| Old sources: | ClueR archive |
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