Genetic Algorithm-Based Feature Selection and Self-Organizing Auto-Encoder (SOAE) For SNP Genomics Data Classification-Reference-Cited by-同舟云学术

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Genetic Algorithm-Based Feature Selection and Self-Organizing Auto-Encoder (SOAE) For SNP Genomics Data Classification

Published:2022-10-06 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber Resilience (ICCR)
language:
Short-container-title:

Author:

Karthika D.¹,Deepika M.²,Radwan Neyara³,Al-Kassem Amer Hani⁴

Affiliation:

1. Patrician college of art and Science,Chennai,India

2. Crescent University,Chennai,India

3. King Abdulaziz University,Faculty of Economics & Administration,Saudi Arabia

4. School of Business, Skyline University College, University City of Sharjah,Sharjah,United Arab Emirates,1797

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9995718/9995732/09995974.pdf?arnumber=9995974

Reference40 articles.

1. SNP Selection and Classification of Genome-Wide SNP Data Using Stratified Sampling Random Forests

2. Removal of the Noise & Blurriness using Global & Local Image Enhancement Equalization Techniques;aslam;International Journal of Computational and Innovative Sciences,2022

3. Identification of epistatic interactions through genome-wide association studies in sporadic medullary and juvenile papillary thyroid carcinomas

4. AA Novel Method to improve the Round Robin CPU Scheduling Quantum time using Arithmetic Mean;akmal;International Journal of Computational and Innovative Sciences,2022

5. A Self-organizing Deep Auto-Encoder approach for Classification of Complex Diseases using SNP Genomics Data

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