Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks
Abstract Background Identification of cancer subtypes is of great importance to facilitate cancer diagnosis and therapy. A number of methods have been proposed to integrate multi-sources data to identify cancer subtypes in recent years. However, few of them consider the regulatory associations betwe...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-12-01
|
Series: | BMC Medical Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12920-018-0435-x |