CanID: a robust and accurate RNAseq Expression-based diagnostic classification scheme for pediatric malignancies
Daniel K. Putnam, Alexander M. Gout, Delaram Rahbarinia, Meiling Jin, David Finkelstein, Xiaotu Ma, Jinghui Zhang, David A. Wheeler, Larissa V. Furtado, Xiang 'Anthony' Chen
CanID is a machine learning classifier for pediatric cancer subtypes using RNAseq data, achieving 99% accuracy for solid tumors and 92-93% for hematologic malignancies.
Genomics Proteomics & Bioinformatics · Nov 29, 2025Peer-reviewedBioinformatics