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Found 2 papers, 1 papers with code
Reconstructing gene expression and knockout effect scores from DNA mutation (Mut2Ex): methodology and application to cancer prediction problems
Building prediction models for outcomes of clinical relevance when only a limited number of mutational features are available causes considerable challenges due to the sparseness and low-dimensionality of the data.
Cross-Cluster Weighted Forests
Adapting machine learning algorithms to better handle clustering or batch effects within training data sets is important across a wide variety of biological applications.
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