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change classifyR path

Nick authored on 10/11/2022 22:28:07
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 # ClassifyR: Performance evaluation for multi-view data sets and seamless integration with MultiAssayExperiment and Bioconductor
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-<img src="inst/ClassifyRsticker.png" align="right">
+<img src="man/figures/ClassifyRsticker.png" align="right" width=250 style="margin-left: 10px;">
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 ClassifyR's performance evaluation focuses on model stability and interpretability. Based on repeated cross-validation, it is possible to evaluate feature selection stability and also per-sample prediction accuracy. Also, multiple omics data assays on the same samples are becoming more popular and ClassifyR supports a range of multi-view methods to evaluate which data view is the most predictive and combine data views to evaluate if multiple views provide superior predictive performance to a single data view.
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