L1 penalized regression model

Over the past decades, approaches for diagnosing and treating cancer have seen significant improvement. However, the variability of patient and tumor characteristics has limited progress on methods for prognosis prediction. The development of high-throughput omics technologies now provides multiple approaches for characterizing tumors.

11p vimahuateng 26-11-2021 8 1   Download

Cancer prognosis prediction is valuable for patients and clinicians because it allows them to appropriately manage care. A promising direction for improving the performance and interpretation of expressionbased predictive models involves the aggregation of gene-level data into biological pathways.

17p vicolorado2711 22-10-2020 5 1   Download