Daniela Witten
Publications by Year
Research Areas
Statistical Methods and Inference, Gene expression and cancer classification, Advanced Statistical Methods and Models, Bayesian Methods and Mixture Models, Neural Networks and Applications
Most-Cited Works
- → An Introduction to Statistical Learning(2013)11,431 cited
- → A general framework for estimating the relative pathogenicity of human genetic variants(2014)6,464 cited
- → CADD: predicting the deleteriousness of variants throughout the human genome(2018)3,776 cited
- → An Introduction to Statistical Learning: with Applications in R(2018)2,989 cited
- → A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis(2009)1,594 cited
- → The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes(2013)891 cited
- → A Framework for Feature Selection in Clustering(2010)703 cited
- → Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data(2009)574 cited