Tag: drug response prediction

SADRP combines drug topology, chemical-bond information, gene expression and DNA methylation to predict drug sensitivity across cancer cell lines.

HGACL-DRP achieved reported mean AUC values of 95.48% and 98.99% on two public cancer cell-line datasets in a computational drug-response ...

New research reveals that the membrane protein Annexin A6 regulates apoptotic priming and BCL-2 dependency in acute lymphoblastic leukaemia, with ...

Researchers have developed CCOT, a condition-controlled optimal transport framework that predicts single-cell responses to drug perturbations, including to compounds never ...

Researchers have developed PREDICT-AML, a machine learning framework that predicts individual drug responses in acute myeloid leukemia by combining chemical ...

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