Breast Cancer Microarray and RNASeq Data Integration Applied to Classification

@inproceedings{Castillo2017BreastCM,
  title={Breast Cancer Microarray and RNASeq Data Integration Applied to Classification},
  author={Daniel Castillo and Juan Manuel G{\'a}lvez and Luis Javier Herrera and Ignacio Rojas},
  booktitle={IWANN},
  year={2017}
}
Although Next-Generation Sequencing (NGS) has more impact nowadays than microarray sequencing, there is a huge volume of microarray data that has not still been processed. The last represents the most important source of biological information nowadays due largely to its use over many years, and a very important potential source of genetic knowledge deserving appropriate analysis. Thanks to the two techniques, there is now a huge amount of data that allows us to obtain robust results from its… Expand
1 Citations
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The experimental results show that the proposed method achieves a higher classification accuracy and selects fewer feature genes, which can be widely applied in classification for high-dimensional and small-sample tumor datasets. Expand

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