Abstract 135: Elucidating tumor evolution in pediatric cancers using stochastic models and mutation accumulation experiments
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DOI: 10.1158/1538-7445.am2023-135
Abstract: Ontology-based approaches have been utilized for identifying cancer genes. However, among the thousands of mutations in pediatric cancer genes, accurate prediction of driver genes is one of the biggest challenges. A binary logistic regression model… read more here.
Keywords: cancer; stochastic models; using stochastic; accumulation experiments ... See more keywords