Radiotherapy has been widely used to treat various cancers, but its efcacy depends on the individual involved. Traditional gene-based machine-learning models have been widely used to predict radiosensitivity.
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Prediction of radiosensitivity and radiocurability using a novel supervised artificial neural network
Prediction of radiosensitivity and radiocurability using a novel supervised artificial neural network
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Tìm kiếm theo từ khóa liên quan:
BMC Cancer Computational biology High-Throughput sequencing Multi-omics Neural network models Root mean squared errorsTài liệu có liên quan:
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