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HTSCluster  

Clustering High-Throughput Transcriptome Sequencing (HTS) Data
View on CRAN: Click here


Download and install HTSCluster package within the R console
Install from CRAN:
install.packages("HTSCluster")

Install from Github:
library("remotes")
install_github("cran/HTSCluster")

Install by package version:
library("remotes")
install_version("HTSCluster", "2.0.11")



Attach the package and use:
library("HTSCluster")
Maintained by
Andrea Rau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-11-07
Latest Update: 2023-09-05
Description:
A Poisson mixture model is implemented to cluster genes from high- throughput transcriptome sequencing (RNA-seq) data. Parameter estimation is performed using either the EM or CEM algorithm, and the slope heuristics are used for model selection (i.e., to choose the number of clusters).
How to cite:
Andrea Rau (2011). HTSCluster: Clustering High-Throughput Transcriptome Sequencing (HTS) Data. R package version 2.0.11, https://cran.r-project.org/web/packages/HTSCluster. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2011-11-07 15:05), 1.1 (2012-06-11 17:40), 2.0.0 (2013-09-25 12:16), 2.0.1 (2013-12-10 14:53), 2.0.3 (2014-07-28 17:42), 2.0.4 (2014-08-26 18:12), 2.0.8 (2016-05-26 22:05), 2.0.10 (2022-08-24 15:52)
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