Article

Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer

2023-03-27

Abstract excerpt

Gene expression signatures refer to patterns of gene activities and are used to classify different types of cancer, determine prognosis, and guide treatment decisions. Advancements in high-throughput technology and machine learning have led to improvements to predict a patient's prognosis for different cancer phenotypes. However, computational methods for analyzing signatures have not been used to evaluate their p...

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Literature Corpus work: 73560b51-88b2-5e53-8a48-fa540b920327
DOI: 10.21203/rs.3.rs-2704246/v1

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