8 citations · 8 across the 2 of their papers we have counts for
2 papers
stat.ME2021
Sufficient principal component regression for pattern discovery in transcriptomic data
Lei Ding, Gabriel E. Zentner, Daniel J. McDonald
Methods for global measurement of transcript abundance such as microarrays and RNA-Seq generate datasets in which the number of measured features far exceeds the number of observat…
stat.ME2019★ 8 cited
Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression
Lei Ding, Daniel J. McDonald
Motivation: The discovery of relationships between gene expression measurements and phenotypic responses is hampered by both computational and statistical impediments. Conventional…