Cancer molecular subtyping using limited multi-omics data with missingness.
Diagnosing cancer subtypes is a prerequisite for precise treatment. Existing multi-omics data fusion-based diagnostic solutions build on the requisite of sufficient samples with complete multi-omics data, which is challenging to obtain in clinical applications. To address the bottleneck of collectin...
| Main Authors: | , , , , , |
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
Public Library of Science (PLoS)
2024-12-01
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| סדרה: | PLoS Computational Biology |
| גישה מקוונת: | https://doi.org/10.1371/journal.pcbi.1012710 |