ClueR

Cluster Evaluation

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. P Yang et al. (2015) <doi:10.1371/journal.pcbi.1004403>.

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Description file content

Package
ClueR
Type
Package
Title
Cluster Evaluation
Version
1.4
Date
2018-09-29
Author
Pengyi Yang
Maintainer
Pengyi Yang
Description
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 for more details. P Yang et al. (2015) .
License
GPL-3
Depends
R (>= 2.10.0), e1071, parallel
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-09-29 08:20:47 UTC; pengyiyang
Repository
CRAN
Date/Publication
2018-09-29 08:40:02 UTC

install.packages('ClueR')

1.4

16 days ago

Pengyi Yang

GPL-3

Depends on

R (>= 2.10.0), e1071, parallel

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