oncoPredict: an R package for predicting <i>in vivo</i> or cancer patient drug response and biomarkers from cell line screening dataDanielle Maeser, R. Stephanie Huang, Robert F. Gruener|Briefings in Bioinformatics|2021Cited by 1.8k
The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in HealthcareAnkush Patel, Nicole Maeser, Danielle Maeser et al.|BioMedInformatics|2024Cited by 36
A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq dataDanielle Maeser, R. Stephanie Huang, Yingbo Huang et al.|Current Opinion in Structural Biology|2023Cited by 22
Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous TumorsWeijie Zhang, R. Stephanie Huang, Anand G. Patel et al.|Cancer Research|2024Cited by 21
Computational Modeling to Identify Drugs Targeting Metastatic Castration-Resistant Prostate Cancer Characterized by Heightened GlycolysisMei‐Chi Su, R. Stephanie Huang, Yibin Deng et al.|Pharmaceuticals|2024Cited by 4