DeepSide: A Deep Learning Approach for Drug Side Effect Prediction-Reference-Cited by-同舟云学术

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DeepSide: A Deep Learning Approach for Drug Side Effect Prediction

Published:2022 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Uner Onur Can,Kuru Halil Ibrahim,Cinbis Ramazan Gokberk,Tastan Oznur,Cicek Ercument

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09674817.pdf?arnumber=9674817

Reference44 articles.

1. Drug Discovery Using Chemical Systems Biology: Identification of the Protein-Ligand Binding Network To Explain the Side Effects of CETP Inhibitors

2. Attention is all you need;vaswani;Proc Adv Neural Inf Processi Syst,2017

3. A CitationRank algorithm inheriting Google technology designed to highlight genes responsible for serious adverse drug reaction

4. ImageNet classification with deep convolutional neural networks;krizhevsky;Proc Adv Neural Inf Process Syst,2012

5. Predicting Drug Side Effects Using Data Analytics and the Integration of Multiple Data Sources

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1. SDV-HGNN: similarity-based dual view heterogeneous graph neural network method for drug adverse side effect prediction;2024-09-02

2. Text-mining-based feature selection for anticancer drug response prediction;Bioinformatics Advances;2024-01-01

3. XAIA: An Explainable AI Approach for Classification and Analysis of Blood Anemia;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

4. Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects;Frontiers in Pharmacology;2023-09-04

5. Interpretation of Expressions through Hand Signs Using Deep Learning Techniques;Vol 4 Issue 2;2022-06-25

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