Application of non|negative matrix factorization in oncology

Application of non-negative matrix factorization in oncology

NMF is a machine learning method that uses a dimensionality reduction method based on a low-rank approximation of the feature space. In addition ...

Application of non-negative matrix factorization in oncology - PubMed

The increase in the expectations of artificial intelligence (AI) technology has led to machine learning technology being actively used in ...

Application of non-negative matrix factorization in oncology

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine ; Ken Asada · Ken Asada. RIKEN Center for Advanced ...

(PDF) Application of non-negative matrix factorization in oncology

... Non-negative matrix factorization (NMF) is an effective dimensionality reduction method that is widely used to distinguish molecular ...

[PDF] Application of non-negative matrix factorization in oncology ...

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine · Ryuji Hamamoto, Ken Takasawa, +12 authors. S.

Cancer classification and pathway discovery using non-negative ...

We applied non-smooth non-negative matrix factorization (nsNMF) and support vector machine (SVM) to utilize the full range of sequencing data, ...

A non-negative matrix factorization method for detecting modules in ...

Results: We introduce a novel method of multi-modal data analysis that is designed for heterogeneous data based on non-negative matrix factorization. We provide ...

Model selection and robust inference of mutational signatures using ...

The mutational signatures can be found using non-negative matrix factorization (NMF). To extract the mutational signatures we have to assume a ...

Non-negative matrix factorization model-based construction for ...

We aimed at exploring the efficacy of non-negative matrix factorization (NMF) model-based clustering for prognostic assessment of head and neck squamous ...

Discovery of a novel non-negative matrix factorization (NMF)

We discovered a novel NMF-based HRD score and used it to explore potential associations of HRD with efficacy in TP-2. Methods: The Cancer Genome Atlas Prostate ...

Application of non-negative matrix factorization in oncology - OUCI

In this review, the importance of NMF in the field of medicine, with a focus on the field of oncology, is described by explaining the mathematical science of ...

NMFNA: A Non-negative Matrix Factorization Network Analysis ...

Liu et al. (2014) developed a network-assisted co-clustering algorithm for the identification of cancer subtypes, which first assigns weights to genes based on ...

Efficacy of Non-negative Matrix Factorization for Feature Selection in ...

This study exploits the matrix-like structure of such microarray data and uses a popular technique called Non-Negative Matrix Factorization (NMF) to reduce ...

Compressive Bayesian non-negative matrix factorization for ... - arXiv

Abstract:Non-negative matrix factorization (NMF) is widely used in many applications for dimensionality reduction. ... cancer application.

Biomarker discovery by integrated joint non-negative matrix ... - Nature

Non-negative matrix factorization (NMF) is an unsupervised approach that can highlight outliers or extreme characteristics in a non-negative ...

Optimization and expansion of non-negative matrix factorization

It performs a blind decomposition, which puts the meaning of the result in question. This might limit the applications of unsupervised methods ...

(PDF) Non-negative matrix factorization by maximizing correntropy ...

Background Non-negative matrixfactorization (NMF) has been shown to be a powerful tool for clustering gene expression data,which are widely ...

Sparse Graph Regularization Non-Negative Matrix Factorization ...

To exploit cancer information, cancer gene expression data often uses the NMF method to reduce dimensionality. Gene expression data usually have some noise ...

Impact of the Choice of Normalization Method on Molecular Cancer ...

By the nonnegativity constraint, NMF provides a decomposition of the data matrix into two matrices that have been used for clustering analysis. However, the ...

Application of non-negative matrix factorization to multispectral FLIM ...

Non-negative matrix factorization (NMF) is a multivariate data analysis technique aimed at extracting non-negative signatures of pure components and their non- ...