Human chromosome classification using Competitive Neural Network Teams (CNNT) and Nearest Neighbor

@article{GagulaPalalic2014HumanCC,
  title={Human chromosome classification using Competitive Neural Network Teams (CNNT) and Nearest Neighbor},
  author={Sadina Gagula-Palalic and Mehmet Can},
  journal={IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)},
  year={2014},
  pages={626-629}
}
This paper presents a novel approach to human chromosome classification. Human cell contains 22 pairs of autosomes and a pair of sex chromosomes. In this research, 22 types of autosomes represent 22 classes to be distinguished. New method of classification is based on the special organized committee of 462 simple perceptrons, called Competitive Neural… CONTINUE READING