Twiner: correlation-based regularization for identifying common cancer gene signatures
Abstract Background Breast and prostate cancers are typical examples of hormone-dependent cancers, showing remarkable similarities at the hormone-related signaling pathways level, and exhibiting a high tropism to bone. While the identification of genes playing a specific role in each cancer type bri...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-06-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2937-8 |