Optimizing minimum spanning tree using stochastic–Variable neighborhood search for efficient clustering of cancer gene data-Reference-Cited by-同舟云学术

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Optimizing minimum spanning tree using stochastic–Variable neighborhood search for efficient clustering of cancer gene data

Published:2022-12-16 Issue:5 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

M Pavithra¹^ORCID,RMS Parvathi²

Affiliation:

1. Department of Computer Science and Engineering Jansons Institute of Technology Coimbatore India

2. Department of Computer Science and Engineering Sri Ramakrishna Institute of Technology Coimbatore India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7573

Reference30 articles.

1. Artificial neural network model for effective cancer classification using microarray gene expression data

2. Feature Selection of Gene Expression Data for Cancer Classification: A Review

3. A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

4. TurgutS DağtekinM EnsariT.Microarray breast cancer data classification using machine learning methods. Paper presented at: 2018 Electric Electronics Computer Science Biomedical Engineerings' Meeting (EBBT); IEEE;2018:1–3.

5. Network medicine: a network-based approach to human disease

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