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

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
  3. Stephan S, Galland S, Labbani Narsis O, Shoji K, Vachenc S, Gerart S, Nicolle C. Agent-based approaches for biological modeling in oncology: A literature review. Artificial Intelligence in Medicine 2024;152:102884 View

Books/Policy Documents

  1. Siddiqui M, Mouna A, Nicolas G, Rahat S, Mitalipova A, Emmanuel N, Tashmatova N. Computational Intelligence in Oncology. View