Other packages > Find by keyword >

OSNMTF  

Orthogonal Sparse Non-Negative Matrix Tri-Factorization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OSNMTF", "0.1.0")



Attach the package and use:
library("OSNMTF")
Maintained by
Xiaoyao Yin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-28
Latest Update: 2019-11-28
Description:
A novel method to implement cancer subtyping and subtype specific drug targets identification via non-negative matrix tri-factorization. To improve the interpretability, we introduce orthogonal constraint to the row coefficient matrix and column coefficient matrix. To meet the prior knowledge that each subtype should be strongly associated with few gene sets, we introduce sparsity constraint to the association sub-matrix. The average residue was introduced to evaluate the row and column cluster numbers. This is part of the work "Liver Cancer Analysis via Orthogonal Sparse Non-Negative Matrix Tri- Factorization" which will be submitted to BBRC.
How to cite:
Xiaoyao Yin (2019). OSNMTF: Orthogonal Sparse Non-Negative Matrix Tri-Factorization. R package version 0.1.0, https://cran.r-project.org/web/packages/OSNMTF. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited OSNMTF R package
View OSNMTF citation profile
Other R packages that OSNMTF depends, imports, suggests or enhances
Complete documentation for OSNMTF
Functions, R codes and Examples using the OSNMTF R package
Some associated functions: ASR . MSR . OSNMTF . Standard_Normalization . affinityMatrix . cost . dist2eu . initialization . simu_data_generation . update_B . update_C . update_L . update_R . 
Some associated R codes: ASR.R . MSR.R . OSNMTF.R . Standard_Normalization.R . affinityMatrix.R . cost.R . dist2eu.R . initialization.R . simu_data_generation.R . update_B.R . update_C.R . update_L.R . update_R.R .  Full OSNMTF package functions and examples
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

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  
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  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
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  

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