Concepedia

Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data

Baoshan Ma, Fanyu Meng, Yan Ge, Haowen Yan, Bingjie Chai, Fengju Song

Computers in Biology and Medicine · 2020 · 216 citations · 48 references

Concepts

ComputingBioinformaticsBiomedical InformaticsData MiningMachine LearningTumor PathologyCancer DiagnosisComputational OncologyComputer-aided DiagnosisEnsemble MethodsMolecular Classification Of TumorsTumor ClassificationBiomarker-based ClassificationCancer DiagnosticsComputer-aided Tumor DiagnosisDiagnostic Classification ModelsExtreme Gradient BoostingGenomic ClassifiersSupervised Tumor Classification

References

48

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Freddie Bray, Jacques Ferlay, Isabelle Soerjomataram et al. · CA A Cancer Journal for Clinicians · 2018 · 87.7K citations · Full text

Medicine, Oncology, Cancer Epidemiology +16

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

Da Wei Huang, Brad T. Sherman, Richard A. Lempicki · Nature Protocols · 2008 · 37.4K citations

Life Sciences, Bioinformatics, Molecular Biology +5

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

Jordi Barretina, Giordano Caponigro, Nicolas Stransky et al. · Nature · 2012 · 8.5K citations

Medicine, Oncology, Pharmacology +15