69 citations · 231 across the 22 of their papers we have counts for
4 papers · 1 filter
Large-Margin Classification with Multiple Decision Rules
Patrick K. Kimes, D. Neil Hayes, J. S. Marron +1
Binary classification is a common statistical learning problem in which a model is estimated on a set of covariates for some outcome indicating the membership of one of two classes…
Statistical Significance for Hierarchical Clustering
Patrick K. Kimes, Yufeng Liu, D. Neil Hayes +1
Cluster analysis has proved to be an invaluable tool for the exploratory and unsupervised analysis of high dimensional datasets. Among methods for clustering, hierarchical approach…
Significance Analysis for Pairwise Variable Selection in Classification
Xingye Qiao, Yufeng Liu, J. S. Marron
The goal of this article is to select important variables that can distinguish one class of data from another. A marginal variable selection method ranks the marginal effects for c…
IsoDOT Detects Differential RNA-isoform Expression/Usage with respect to a Categorical or Continuous Covariate with High Sensitivity and Specificity
Wei Sun, Yufeng Liu, James J. Crowley +14
We have developed a statistical method named IsoDOT to assess differential isoform expression (DIE) and differential isoform usage (DIU) using RNA-seq data. Here isoform usage refe…