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Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements

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Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements

In this repository you can find the implementations regarding the study exposed on paper "Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements", Bruna Zamith Santos, Gean Trindade Pereira, Felipe Kenji Nakano, Ricardo Cerri, BRACIS, 2018

The codes are divided into:

  • Implementation
  • Analysis

Datasets

The datasets used come from Nakano et. al.

F. K. Nakano, W. J. Pinto, G. L. Pappa, and R. Cerri, “Top-down strategies for hierarchical classification of transposable elements with neural networks,” in International Joint Conference on Neural Networks (IJCNN), 2017, pp. 2539–2546.

For more information or suggestions, please contact the authors.

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