Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach-Reference-Cited by-同舟云学术

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Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach

Published:2020 Issue: Volume:8 Page:22874-22883
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khalifa Nour Eldeen M.^ORCID,Taha Mohamed Hamed N.^ORCID,Ezzat Ali Dalia^ORCID,Slowik Adam^ORCID,Hassanien Aboul Ella^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08974295.pdf?arnumber=8974295

Cited by 85 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. A novel pipeline employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy;Computers in Biology and Medicine;2024-10

2. Gene pointNet for tumor classification;Neural Computing and Applications;2024-08-22

3. A review on advancements in feature selection and feature extraction for high-dimensional NGS data analysis;Functional & Integrative Genomics;2024-08-19

4. Occlusion enhanced pan-cancer classification via deep learning;BMC Bioinformatics;2024-08-08

5. Optimization of Gene Selection for Cancer Classification in High-Dimensional Data Using an Improved African Vultures Algorithm;Algorithms;2024-08-06

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