Evan A. Clayton

Leveraging TCGA gene expression data to build predictive models for cancer drug response

Peng Qiu, Evan A. Clayton, Toyya A. Pujol, 2020, BMC Bioinformatics.

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy

Evan A. Clayton, Lilya V. Matyunina, F. Vannberg, 2018, Scientific Reports.

Patterns of Transposable Element Expression and Insertion in Cancer

Evan A. Clayton, Jianrong Wang, I. K. Jordan, 2016, Front. Mol. Biosci..

Population and clinical genetics of human transposable elements in the (post) genomic era

Evan A. Clayton, I. K. Jordan, L. Mariño-Ramírez, 2017, Mobile genetic elements.

Tumor suppressor genes and allele-specific expression: mechanisms and significance

Evan A. Clayton, I. K. Jordan, J. McDonald, 2020, Oncotarget.

Leveraging TCGA gene expression data to build predictive models for cancer drug response

Evan A. Clayton, Toyya A. Pujol, P. Qiu, 2019, BMC Bioinformatics.

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy

Evan A. Clayton, Lilya V. Matyunina, F. Vannberg, 2018, Scientific Reports.

An atlas of transposable element-derived alternative splicing in cancer

Evan A. Clayton, I. K. Jordan, J. McDonald, 2020, Philosophical Transactions of the Royal Society B.