Novel progressive deep learning algorithm for uncovering multiple single nucleotide polymorphism interactions to predict paclitaxel clearance in patients with nonsmall cell lung cancer.

Wei ChenHaiyan ZhouMingyu ZhangYafei ShiTaifeng LiDi QianJun YangFeng YuGuohui Li

Published in: Cancer innovation (2024)

We successfully developed an effective deep-learning algorithm tailored for the nuanced mining of SNP interactions, leveraging data on paclitaxel clearance and individual genetic polymorphisms.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning
multiple sclerosis
single cell
genome wide
electronic health record
cell therapy
epidermal growth factor receptor
smoking cessation
chemotherapy induced
genetic diversity
tyrosine kinase
bone marrow