Clustering Sparse Data With Feature Correlation With Application to Discover Subtypes in Cancer

In this paper, given data with high-dimensional features, we study this problem of how to calculate the similarity between two samples by considering feature interaction network, where a feature interaction network represents the relationship between features. This is different from some traditional...

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Detalles Bibliográficos
Autores principales: QIANG, JIPENG, DING, WEI, KUIJJER, MARIEKE, QUACKENBUSH, JOHN, CHEN, PING
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629797/
https://www.ncbi.nlm.nih.gov/pubmed/36329870
http://dx.doi.org/10.1109/access.2020.2982569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629797/
https://www.ncbi.nlm.nih.gov/pubmed/36329870
http://dx.doi.org/10.1109/access.2020.2982569

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