Multiview clustering of multi-omics data integration by using a penalty model

Multiview clustering of multi-omics data integration by using a penalty model

Abstract Background Methods for the multiview clustering and integration of multi-omics data have been developed recently to solve problems caused by data noise or limited sample size and to integrate multi-omics data with consistent (common) and differential cluster patterns. However, the integrati...

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Bibliographic Details
Main Authors: Hamas A. AL-kuhali, Ma Shan, Mohanned Abduljabbar Hael, Eman A. Al-Hada, Shamsan A. Al-Murisi, Ahmed A. Al-kuhali, Ammar A. Q. Aldaifl, Mohammed Elmustafa Amin
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Bioinformatics
Subjects:
Multi-omics data
Multiview clustering
Data integration
Penalty model
Online Access:https://doi.org/10.1186/s12859-022-04826-4

Internet

https://doi.org/10.1186/s12859-022-04826-4

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