Assessing recurrent neural network accuracy and interpretability in breast cancer classification
Ribonucleic acid sequencing-based gene expression profiling enables molecular-level cancer diagnosis. However, most machine learning approaches lack the interpretability required for clinical adoption. This investigation examined how accurately a recurrent neural network could classify gene expression data to distingui...