Titlebook: Mathematical and Computational Oncology; First International George Bebis,Takis Benos,Ernesto Lima Conference proceedings 2019 Springer Na

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書目名稱Mathematical and Computational Oncology影響因子(影響力)




書目名稱Mathematical and Computational Oncology影響因子(影響力)學(xué)科排名




書目名稱Mathematical and Computational Oncology網(wǎng)絡(luò)公開度




書目名稱Mathematical and Computational Oncology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Mathematical and Computational Oncology被引頻次




書目名稱Mathematical and Computational Oncology被引頻次學(xué)科排名




書目名稱Mathematical and Computational Oncology年度引用




書目名稱Mathematical and Computational Oncology年度引用學(xué)科排名




書目名稱Mathematical and Computational Oncology讀者反饋




書目名稱Mathematical and Computational Oncology讀者反饋學(xué)科排名

liaison

DEAWL

離開

https://doi.org/10.1007/978-3-030-35210-3artificial intelligence; Bayes theorem; bioinformatics; clustering algorithms; image analysis; image proc

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transplantation

Modeling the Evolution of Ploidy in a Resource Restricted Environmenttoma (grade IV). Progression of lower-grade gliomas (LGG) to Glioblastoma (GBM) is accompanied by a phenotypic switch to a highly invasive tumor cell phenotype. Converging evidence from different cancer types, including colorectal-, breast-, and lung- cancers, suggests a strong enrichment of high pl

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TOM

Accurate and Flexible Bayesian Mutation Call from Multi-regional Tumor Samples To improve detection performance, our method is based on the assumption of mutation sharing: if we can predict at least one tumor region has the mutation, then we can be more confident to detect a mutation in more tumor regions by lowering the original threshold of detection. We find two drawbacks

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