Structure-preserving deep embedded clustering algorithm for incomplete gene expression data

Missing values inevitably appear in gene expression data, making it impossible to directly apply clustering algorithms to incomplete gene expression data to identify co-expressed genes. Deep autoencoders are often used for feature learning of data in clustering incomplete data due to their powerful...

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Bibliographic Details

Published in:	Chinese Control Conference pp. 8255 - 8261
Main Authors:	Wang, Zhencheng, Li, Dan
Format:	Conference Proceeding
Language:	English
Published:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Subjects:	Analytical models Biology Clustering algorithms Correlation Data models Deep embedded clustering Gene expression data Imputation Joint optimization Missing value Representation learning Structure preserving
ISSN:	1934-1768
Online Access:	Get full text
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