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A Similarity Regression Fusion Model for Integrating Multi-Omics Data to Identify Cancer Subtypes

The identification of cancer subtypes is crucial to cancer diagnosis and treatments. A number of methods have been proposed to identify cancer subtypes by integrating multi-omics data in recent years. However, the existing methods rarely consider the biases of similarity between samples and weights...

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Bibliografiske detaljer
Udgivet i:Genes (Basel)
Main Authors: Guo, Yang, Zheng, Jianning, Shang, Xuequn, Li, Zhanhuai
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6070922/
https://ncbi.nlm.nih.gov/pubmed/29933539
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes9070314
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