Corpus ID: 103218

A Principled Comparative Analysis of Dimensionality Reduction Techniques on Protein Structure Decoy Data

@inproceedings{Pandit2016APC,
  title={A Principled Comparative Analysis of Dimensionality Reduction Techniques on Protein Structure Decoy Data},
  author={R. Pandit and A. Shehu},
  year={2016}
}
  • R. Pandit, A. Shehu
  • Published 2016
  • In this paper we investigate the utility of dimensionality reduction as a tool to analyze and simplify the structure space probed by de novo protein structure prediction methods. We conduct a principled comparative analysis in order to identify which techniques are effective and can be further used in decoy selection. The analysis allows drawing several interesting observations. For instance, many of the reportedly state-ofthe-art non-linear dimensionality reduction techniques fare poorly and… CONTINUE READING

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