Cancer classification from microarray data for genomic disorder research using optimal discriminant independent component analysis and kernel extreme learning machine-Reference-Cited by-同舟云学术

Cancer classification from microarray data for genomic disorder research using optimal discriminant independent component analysis and kernel extreme learning machine

Published:2020-07 Issue:9 Volume:36 Page:
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Int J Numer Meth Biomed Engng

Author:

Nguyen Tram Thi Huyen¹,Nguyen Pol Van²,Tran Quang Vinh²,Vo Nam Xuan³,Vo Trung Quang²^ORCID

Affiliation:

1. Department of Pharmacy Ear ‐ Nose ‐ Throat Hospital in Ho Chi Minh city Ho Chi Minh City Vietnam

2. Department of Economic and Administrative Pharmacy, Faculty of Pharmacy Pham Ngoc Thach University of Medicine Ho Chi Minh City Vietnam

3. Department of Economic and Administrative Pharmacy, Faculty of Pharmacy Ton Duc Thang University Ho Chi Minh City Vietnam

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modeling and Simulation,Biomedical Engineering,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cnm.3372

Reference39 articles.

1. AlagukumarSandLawranceR Classification of microarray gene expression data using associative classification. IEEE: International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16); 2016. pp. 1–8.

2. Gene selection for classification of microarray data based on the Bayes error

3. Microarray Filtering-Based Fuzzy C-Means Clustering and Classification in Genomic Signal Processing

4. A Faster cDNA Microarray Gene Expression Data Classifier for Diagnosing Diseases

5. TurgutS DağtekinMandEnsariT Microarray breast cancer data classification using machine learning methods. Electric Electronics Computer Science Biomedical Engineering’s’ Meeting (EBBT); (2018). pp. 1–3.

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