HMC: High-Dimensional Mean Comparison with Projection and
Cross-Fitting
Provides interpretable high-dimensional mean comparison methods (HMC).
For example, users can apply these methods to assess the difference in
gene expression between two treatment groups. It is not a gene-by-gene
comparison. Instead, the methods focus on the interplay between features
and identify those that are predictive of the group label. The tests are
valid frequentist procedures and yield sparse estimates indicating which
features contribute to the group differences.
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