Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets

@article{Glvez2020TowardsIS,
  title={Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets},
  author={Juan Manuel G{\'a}lvez and Daniel Castillo-Secilla and Luis Javier Herrera and Olga Valenzuela and Octavio Caba and Jos{\'e} C. Prados and Francisco M. Ortu{\~n}o and Ignacio Rojas},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2020},
  volume={24},
  pages={2119-2130}
}
Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligent clinical decision support systems. In this sense, gene expression analysis can help find differentially expressed genes (DEGs) simultaneously discerning multiple skin pathological states in a single test. The integration of multiple heterogeneous… Expand
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