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Sahu, S.S. and Panda, G. (2010) A Novel Feature Representation Method Based on Chou’s Pseudo Amino Acid Composition for Protein Structural Class Prediction. Computational Biology and Chemistry, 34, 320-327.
https://doi.org/10.1016/j.compbiolchem.2010.09.002

has been cited by the following article:

• TITLE: The Significant and Profound Impacts of Chou’s Pseudo Amino Acid Composition or PseAAC

  AUTHORS: Kuo-Chen Chou

  KEYWORDS: Pseudo Amino Acid Composition, PseAAC, Significant Impacts, Profound Impacts

  JOURNAL NAME: Natural Science, Vol.12 No.9, September 15, 2020

  ABSTRACT: In this short review paper, the significant and profound impacts of the Pseudo Amino Acid Composition or PseAAC have been briefly presented with crystal clear convincingness.