Alzheimer’s Disease Risk Genes Mining Based on a Supervised Machine Learning Method and PPI Network Construction-Reference-Cited by-同舟云学术

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Alzheimer’s Disease Risk Genes Mining Based on a Supervised Machine Learning Method and PPI Network Construction

Published:2024-05-08 Issue: Volume: Page:2961-2966
ISSN:
Container-title:2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
language:
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Author:

Zhang Qiushi¹,Ao Lang¹,Liu Junfeng¹,Xi Yang¹,Chen Dandan²

Affiliation:

1. Northeast Electric Power University,School of Computer Science,Jilin,China

2. Harbin Engineering University & Northeast Electric Power University,College of Intelligent Systems Science and Engineering & School of Automation Engineering,Harbin,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580265.pdf?arnumber=10580265

Reference40 articles.

1. Genetic variations underlying Alzheimer's disease: evidence from genome-wide association studies and beyond

2. Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort

3. Objective-hierarchy based large-scale evolutionary algorithm for improving joint sparsity-compression of neural network

4. An overview of SNP interactions in genome-wide association studies

5. An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions

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