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BMC Bioinformatics|October 1, 2020
Leveraging TCGA gene expression data to build predictive models for cancer drug responseEvan A Clayton, Toyya A Pujol, John F McDonald, et al.
Frontiers in Molecular Biosciences|December 1, 2016
Patterns of Transposable Element Expression and Insertion in CancerEvan A Clayton, Lu Wang, Lavanya Rishishwar, et al.
Oncotarget|February 18, 2020
Tumor suppressor genes and allele-specific expression: mechanisms and significanceEvan A Clayton, Shareef Khalid, Dongjo Ban, et al.
Mobile Genetic Elements|February 24, 2017
Population and clinical genetics of human transposable elements in the (post) genomic eraLavanya Rishishwar, Lu Wang, Evan A Clayton, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|February 21, 2020
An atlas of transposable element-derived alternative splicing in cancerEvan A Clayton, Lavanya Rishishwar, Tzu-Chuan Huang, et al.
Scientific Reports|November 8, 2018
Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracyCai Huang, Evan A Clayton, Lilya V Matyunina, et al.
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