Whole-Genome Deep Learning Predicts Chemotherapy Response in Colorectal Cancer.

Abstract excerpt

Chemotherapy response in colorectal cancer (CRC) exhibits significant heterogeneity, with current clinical predictors failing to capture complex genomic determinants of resistance. We developed a hybrid deep learning framework integrating convolutional neural networks (CNNs) and bidirectional long short-term memory (BiLSTM) networks to analyze whole-genome somatic mutations, evolutionary conservation, chromatin...

Topics

• Humans
• Colorectal Neoplasms
• Deep Learning
• Convolutional Neural Networks
• Mutation
• Tumor Suppressor Protein p53
• Long Short Term Memory