Sparse random projection plus multinomial logistic regression reaches 86% accuracy on 91-class CNS tumor classification from methylation data and 93% at family level, improving 4-5 points over prior reference on an independent 1,104-sample cohort.
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DNA methylation-based classification of central nervous system tumours
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A Novel Machine Learning Approach for Central Nervous System Tumor Classification from DNA Methylation
Sparse random projection plus multinomial logistic regression reaches 86% accuracy on 91-class CNS tumor classification from methylation data and 93% at family level, improving 4-5 points over prior reference on an independent 1,104-sample cohort.