A novel survival prediction signature outperforms PAM50 and artificial intelligence-based feature-selection methods
The robustness of a breast cancer gene signature, the super-proliferation set (SPS), is initially tested and investigated on breast cancer cell lines from the Cancer Cell Line Encyclopaedia (CCLE). Previously, SPS was derived via a meta-analysis of 47 independent breast cancer gene signatures, bench...
Main Authors: | Foo, Reuben Jyong Kiat, Tian, Siqi, Tan, Ern Yu, Goh, Wilson Wen Bin |
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Other Authors: | School of Chemical and Biomedical Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/165805 |
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