Kernel Joint Non-Negative Matrix Factorization for Genomic Data

Kernel Joint Non-Negative Matrix Factorization for Genomic Data

The multi-modal or multi-view integration of data has generated a wide range of applicability in pattern extraction, clustering, and data interpretation. Recently, variants of the Non-negative Matrix Factorization (NMF), such as joint NMF (jNMF), have allowed the integration of data from different s...

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Bibliografske podrobnosti
Main Authors: Diego Salazar, Juan Rios, Sara Aceros, Oscar Florez-Vargas, Carlos Valencia
Format: Article
Jezik:English
Izdano: IEEE 2021-01-01
Serija:IEEE Access
Teme:
Data integration
kernel
joint matrix factorization
cancer
Online dostop:https://ieeexplore.ieee.org/document/9482463/

Internet

https://ieeexplore.ieee.org/document/9482463/

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