Other packages > Find by keyword >

segmenTier  

Similarity-Based Segmentation of Multidimensional Signals
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("segmenTier", "0.1.2")



Attach the package and use:
library("segmenTier")
Maintained by
Rainer Machne
[Scholar Profile | Author Map]
First Published: 2019-02-18
Latest Update: 2019-02-18
Description:
A dynamic programming solution to segmentation based on maximization of arbitrary similarity measures within segments. The general idea, theory and this implementation are described in Machne, Murray & Stadler (2017) . In addition to the core algorithm, the package provides time-series processing and clustering functions as described in the publication. These are generally applicable where a `k-means` clustering yields meaningful results, and have been specifically developed for clustering of the Discrete Fourier Transform of periodic gene expression data (`circadian' or `yeast metabolic oscillations'). This clustering approach is outlined in the supplemental material of Machne & Murray (2012) ), and here is used as a basis of segment similarity measures. Notably, the time-series processing and clustering functions can also be used as stand-alone tools, independent of segmentation, e.g., for transcriptome data already mapped to genes.
How to cite:
Rainer Machne (2019). segmenTier: Similarity-Based Segmentation of Multidimensional Signals. R package version 0.1.2, https://cran.r-project.org/web/packages/segmenTier. Accessed 05 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited segmenTier R package
View segmenTier citation profile
Other R packages that segmenTier depends, imports, suggests or enhances
Complete documentation for segmenTier
Downloads during the last 30 days
03/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/3003/3104/0104/02Downloads for segmenTier0123456789101112TrendBars

Today's Hot Picks in Authors and Packages

IGST  
Informative Gene Selection Tool
Mining informative genes with certain biological meanings are important for clinical diagnosis of di ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gllvm  
Generalized Linear Latent Variable Models
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation i ...
Download / Learn more Package Citations See dependency  
whitestrap  
White Test and Bootstrapped White Test for Heteroskedasticity
Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, develope ...
Download / Learn more Package Citations See dependency  
TrendInTrend  
Odds Ratio Estimation and Power Calculation for the Trend in Trend Model
Estimation of causal odds ratio and power calculation given trends in exposure prevalenceand outcome ...
Download / Learn more Package Citations See dependency  
leapp  
Latent Effect Adjustment After Primary Projection
These functions take a gene expression value matrix, a primary covariate vector, an additional know ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA