Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold

Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold

Abstract Background Patient subgroups are important for easily understanding a disease and for providing precise yet personalized treatment through multiple omics dataset integration. Multiomics datasets are produced daily. Thus, the fusion of heterogeneous big data into intrinsic structures is an u...

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Bibliographic Details
Main Authors: Ali Alfatemi, Hong Peng, Wentao Rong, Bin Zhang, Hongmin Cai
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
PCA
Grassmann manifold
Multi-omics data
Cancer subtypes
Patients subgroups
Survival rates
Online Access:https://doi.org/10.1186/s12911-022-01938-y

Internet

https://doi.org/10.1186/s12911-022-01938-y

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