Other packages > Find by keyword >

PINSPlus  

Clustering Algorithm for Data Integration and Disease Subtyping
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PINSPlus", "2.0.7")



Attach the package and use:
library("PINSPlus")
Maintained by
Van-Dung Pham
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-16
Latest Update: 2021-12-14
Description:
Provides a robust approach for omics data integration and disease subtyping. PINSPlus is fast and supports the analysis of large datasets with hundreds of thousands of samples and features. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust against noise and data perturbation (Nguyen et al. (2019) , Nguyen et al. (2017), Nguyen et al. (2021)).
How to cite:
Van-Dung Pham (2018). PINSPlus: Clustering Algorithm for Data Integration and Disease Subtyping. R package version 2.0.7, https://cran.r-project.org/web/packages/PINSPlus. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-03-16 10:39), 1.0.1 (2018-05-03 12:55), 1.0.2 (2018-07-17 00:40), 1.0.3 (2019-01-07 20:00), 2.0.0 (2019-06-04 17:00), 2.0.1 (2020-04-02 23:30), 2.0.2 (2020-04-13 08:50), 2.0.3 (2020-05-28 10:10), 2.0.4 (2020-05-31 03:30), 2.0.5 (2020-08-06 23:20), 2.0.6 (2021-12-14 20:40)
Other packages that cited PINSPlus R package
View PINSPlus citation profile
Other R packages that PINSPlus depends, imports, suggests or enhances
Complete documentation for PINSPlus
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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