Tag: cancer cell lines

A new graph neural network framework called DrugSAGE predicts cancer drug responses by aggregating transcriptomic features from tumors and their ...

An exploratory laboratory study finds that commonly used anaesthetic drugs such as ketamine, propofol and lidocaine can inhibit the growth, ...

Researchers at the University of Qom have developed BT-Synergy, a hybrid BiLSTM-Transformer deep learning model that predicts synergistic cancer drug ...

A new study shows that short-read RNA sequencing systematically underestimates A-to-I RNA editing levels compared with long-read cDNA sequencing, largely ...

Researchers have built a machine learning framework that predicts context-specific synthetic lethal vulnerabilities between paralog gene pairs across 1,005 cancer ...