De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization-Reference-Cited by-同舟云学术

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De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization

Published:2021-11-28 Issue: Volume: Page:
ISSN:
Container-title:Biocomputing 2022
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Author:

Ren Shuangxia¹,Tao Yifeng²,Yu Ke¹,Xue Yifan³,Schwartz Russell²⁴,Lu Xinghua¹³

Affiliation:

1. Intelligent Systems Program, Pittsburgh, PA, USA

2. Computational Biology Department, Pittsburgh, PA, USA

3. Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA

4. Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA

Publisher

WORLD SCIENTIFIC

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NeuPD—A Neural Network-Based Approach to Predict Antineoplastic Drug Response;Diagnostics;2023-06-13

2. DNN-PNN: A parallel deep neural network model to improve anticancer drug sensitivity;Methods;2023-01

3. Differential Private Deep Learning Models for Analyzing Breast Cancer Omics Data;Frontiers in Oncology;2022-06-23

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