A Knowledge-Based Discovery Approach Couples Artificial Neural Networks With Weight Engineering to Uncover Immune-Related Processes Underpinning Clinical Traits of Breast Cancer
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DOI: 10.3389/fimmu.2022.920669
Abstract: Immune-related processes are important in underpinning the properties of clinical traits such as prognosis and drug response in cancer. The possibility to extract knowledge learned by artificial neural networks (ANNs) from omics data to explain… read more here.
Keywords: clinical traits; immune related; related processes; knowledge ... See more keywords