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Subtype prediction in pediatric acute myeloid leukemia: Classification using differential network rank conservation revisited

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One of the most important application spectrums of transcriptomic data is cancer phenotype classification. Many characteristics of transcriptomic data, such as redundant features and technical artifacts, make over-fitting commonplace. |

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Subtype prediction in pediatric acute myeloid leukemia: Classification using differential network rank conservation revisited