Abstract A015: Predicting efficacious drugs and drug-biomarker relationships for targeted glioblastoma treatment
Danielle Maeser(University of Minnesota), Florina Grigore(University of Minnesota), Stephanie Huang(University of North Carolina at Chapel Hill), Robert F. Gruener(University of Minnesota), Robert Galvin(University of Minnesota), Tomo Koga(University of Minnesota)
Cited by 0
Related Papers
oncoPredict: an R package for predicting <i>in vivo</i> or cancer patient drug response and biomarkers from cell line screening data
|Briefings in Bioinformatics|2021|1.8k
Malignant Ascites in Ovarian Cancer: Cellular, Acellular, and Biophysical Determinants of Molecular Characteristics and Therapy Response
|Cancers|2021|151
The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare
|BioMedInformatics|2024|36
A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data
|Current Opinion in Structural Biology|2023|22