HTSCluster
2.0.11Clustering High-Throughput Transcriptome Sequencing (HTS) Data
Overview
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).
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 91%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
Author records are not tracked yet for this package.
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0.11Latest
- RR 4.3.0 released · 2023-04-21
- 2.0.102022-08-24 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 2.0.82016-05-26 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 2.0.42014-08-26 · diff ↗
Package metadata
- First published
- 2011-11-07
- Total releases
- 9 / 15 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10.0
- Download size
- 379 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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