Publications by authors named "Nasim Erfani"

Article Synopsis
  • Cancer diagnosis and treatment is complex, and microRNAs play a crucial role in gene regulation and cancer development, making their analysis vital in cancer research.* -
  • This paper introduces a new method for classifying cancer types based on microRNA data, combining a radial basis function (RBF) neural network and particle swarm optimization (PSO) for effective feature selection.* -
  • The proposed method achieved high accuracy rates of 0.95% and 0.91% on two datasets, outperforming previous techniques and demonstrating a more efficient classification process for cancer types.*
View Article and Find Full Text PDF