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Kobak, D. and Berens, P. (2021) Understanding Deep Learning through T-SNE. Journal of Machine Learning Research, 22, 1-37.

has been cited by the following article:

• TITLE: Research and Implementation of Cancer Gene Data Classification Based on Deep Learning

  AUTHORS: Yuanzhou Wei, Meiyan Gao, Jun Xiao, Chixu Liu, Yuanhao Tian, Ya He

  KEYWORDS: Cancer, Healthcare, SVM, Random Forest, Neural Network, Deep Learning

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.16 No.6, June 28, 2023

  ABSTRACT: Cancer has become a cause of concern in recent years. Cancer genomics is currently a key research direction in the fields of genetic biology and biomedicine. This paper analyzes 5 different types of cancer genes, such as breast, kidney, colon, lung and prostate through machine learning methods, with the goal of building a robust classification model to identify each type of cancer, which will allow us to identify each type of cancer early, thereby reducing mortality.