plot.NMF: Plot function of the result of NMF function

In nnTensor: Non-Negative Tensor Decomposition

Plot function of the result of NMF function

Description

Only if J is specified as a vector longer than 1, this function will be active.

Author(s)

Koki Tsuyuzaki

References

Jean-Philippe Brunet. et. al., (2004). Metagenes and molecular pattern discovery using matrix factorization. PNAS

Xiaoxu Han. (2007). CANCER MOLECULAR PATTERN DISCOVERY BY SUBSPACE CONSENSUS KERNEL CLASSIFICATION

Attila Frigyesi. et. al., (2008). Non-Negative Matrix Factorization for the Analysis of Complex Gene Expression Data: Identification of Clinically Relevant Tumor Subtypes. Cancer Informatics

Haesun Park. et. al., (2019). Lecture 3: Nonnegative Matrix Factorization: Algorithms and Applications. SIAM Gene Golub Summer School, Aussois France, June 18, 2019

Chunxuan Shao. et. al., (2017). Robust classification of single-cell transcriptome data by nonnegative matrix factorization. Bioinformatics

Paul Fogel (2013). Permuted NMF: A Simple Algorithm Intended to Minimize the Volume of the Score Matrix

Philip M. Kim. et. al., (2003). Subsystem Identification Through Dimensionality Reduction of Large-Scale Gene Expression Data. Genome Research

Lucie N. Hutchins. et. al., (2008). Position-dependent motif characterization using non-negative matrix factorization. Bioinformatics

Patrik O. Hoyer (2004). Non-negative Matrix Factorization with Sparseness Constraints. Journal of Machine Learning 5

Examples

methods(class = "NMF")

nnTensor documentation built on June 22, 2024, 6:52 p.m.