PWSC: a novel clustering method based on polynomial weight-adjusted sparse clustering for sparse biomedical data and its application in cancer subtyping

PWSC: a novel clustering method based on polynomial weight-adjusted sparse clustering for sparse biomedical data and its application in cancer subtyping

Abstract Background Clustering analysis is widely used to interpret biomedical data and uncover new knowledge and patterns. However, conventional clustering methods are not effective when dealing with sparse biomedical data. To overcome this limitation, we propose a hierarchical clustering method ca...

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Bibliographic Details
Main Authors: Xiaomeng Zhang, Hongtao Zhang, Zhihao Wang, Xiaofei Ma, Jiancheng Luo, Yingying Zhu
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Bioinformatics
Subjects:
Hierarchical clustering
Polynomial weight
Consensus clustering
Sparse biomedical data
Online Access:https://doi.org/10.1186/s12859-023-05595-4

Internet

https://doi.org/10.1186/s12859-023-05595-4

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