Deep learning methods for drug response prediction in cancer:
predominant and emerging trends

Deep learning methods for drug response prediction in cancer: predominant and emerging trends

18 November 2022

Oleksandr Narykov

Austin R. Clyde

Department of Materials Science

Papers citing "Deep learning methods for drug response prediction in cancer: predominant and emerging trends"

4 / 4 papers shown

Title
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis A. Partin Priyanka Vasanthakumari Oleksandr Narykov Andreas Wilke Natasha Koussa ... Souparno Ghosh R. Pal Thomas Brettin M. Ryan Weil Rick L. Stevens OOD 43 0 0 18 Mar 2025
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data Jamie Overbeek Alexander Partin Thomas S. Brettin Nicholas Chia Oleksandr Narykov ... Cesar Sanchez-Villalobos Ruibo Zhang Ranadip Pal M. Ryan Weil Rick L. Stevens 26 1 0 18 Sep 2024
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses Tianshu Feng Rohan D Gnanaolivu Abolfazl Safikhani Yuanhang Liu Jun Jiang Nicholas Chia A. Partin Priyanka Vasanthakumari Yitan Zhu Chen Wang 20 0 0 05 Jul 2024
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,340 0 12 Feb 2018