This paper is in the following e-collection/theme issue:

Genomics and Bioinformatics for Clinical Use (22) Precision Medicine (38) Precision Medicine and Genetics (37) Breast Cancer (153)

Published on in Vol 8 , No 6 (2020) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16886, first published .
Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study

Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study

Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study

Authors of this article:

Li-Yeh Chuang 1 Author Orcid Image ;   Cheng-San Yang 2 Author Orcid Image ;   Huai-Shuo Yang 3 Author Orcid Image ;   Cheng-Hong Yang 3, 4, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Bhandari A, Tripathy B, Jawad K, Bhatia S, Rahmani M, Mashat A, Asghar M. Cancer Detection and Prediction Using Genetic Algorithms. Computational Intelligence and Neuroscience 2022;2022:1 View
  2. Thakur B, Gupta G, Kumar N. Hybrid genetic model with ANOVA for predicting breast neoplasm using METABRIC gene data. Materials Today: Proceedings 2022;56:1847 View

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